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X-WR-CALNAME:IEEE ICRA 2025
X-ORIGINAL-URL:https://2025.ieee-icra.org
X-WR-CALDESC:Events for IEEE ICRA 2025
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T185414Z
LAST-MODIFIED:20250425T145427Z
UID:10000148-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Safely Leveraging Vision-Language Foundation Models in Robotics: Challenges and Opportunities
DESCRIPTION:Meeting Room: 411 \nThis workshop focuses on the safety implications of using vision-language foundation models (VLMs) in robotics\, which are increasingly employed in systems like mobile manipulators and autonomous cars. VLMs\, pre-trained on internet-scale data\, offer the potential to enhance robots’ understanding of complex environments\, human feedback\, and action planning. However\, as robots become more integrated into safety-critical applications\, the potential risks from incorrect visual or language interpretations\, misaligned behaviors\, or slow inference times become a serious concern. \nThe workshop aims to address how to safely leverage VLMs in robotics\, exploring safety challenges throughout the lifecycle of these models. Topics include: \n\nTraining: Determining the types of embodied data needed to achieve desired robotic capabilities.\nFine-tuning: Aligning models with human input and ensuring they are adaptable to different contexts.\nDeployment: Ensuring models can run in real-time\, detect out-of-distribution scenarios\, and reliably hand over control to fallback strategies when necessary.\n\nThe goal is to foster dialogue between academia\, industry\, and regulators\, raising important questions about the core safety challenges\, promising strategies\, limitations\, and regulatory considerations related to deploying VLMs in robotics.
URL:https://2025.ieee-icra.org/event/safely-leveraging-vision-language-foundation-models-in-robotics-challenges-and-opportunities/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T185428Z
LAST-MODIFIED:20250425T145441Z
UID:10000149-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Workshop on Athletic Robots and Dynamic Motor Skills (RoboLetics 2.0)
DESCRIPTION:Meeting Room: 312 \nThe Workshop on Athletic Robots and Dynamic Motor Skills (RoboLetics 2.0) aims to explore the advancement of athletic and agile robots\, which are pushing the boundaries of next-generation robotics with their dynamic motor skills\, agility\, autonomy\, and precision. These robots serve as valuable platforms for advancing technology in environments requiring rapid adaptation and high performance. \nThe workshop will focus on three main areas: \n\nDesigning Athletic Robotic Systems: Developing robots that can exhibit complex athletic behaviors\, expanding their capabilities beyond traditional repetitive tasks.\nReal-Time Control and Planning Algorithms: Creating algorithms that allow agile robots to perform complex tasks in real-time while maintaining autonomy and precision.\nEnsuring Safe Human-Robot Collaboration: Addressing safety concerns in environments where robots and humans work side by side\, ensuring secure interaction and operation.\n\nThe workshop will feature a variety of activities\, including invited talks\, research presentations\, poster sessions\, video showcases of athletic robots\, and a collaborative brainstorming session. A panel discussion will also focus on the key challenges and future directions in the field of agile and athletic robotics.
URL:https://2025.ieee-icra.org/event/workshop-on-athletic-robots-and-dynamic-motor-skills-roboletics-2-0/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T185452Z
LAST-MODIFIED:20250425T145500Z
UID:10000150-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Structured Learning for Efficient\, Reliable\, and Transparent Robots
DESCRIPTION:Meeting Room: 314 \nRoboticists have made significant strides in the last decade\, enabling complex robot behaviors across diverse domains. Dominant approaches to robot intelligence typically fall into two categories. First\, analytical methods offer reliability and robustness but require expertise and do not generalize beyond pre-specified scope. Second\, learning-based approaches enable complex behavior without explicit design but demand significant resources and lack predictability. These categories are often viewed as competing alternatives due to their reciprocal advantages and drawbacks. However\, they can be viewed as two ends of a broad spectrum. \nThis workshop seeks to explore a middle\, structured approach that attempts to combine the benefits from either end of the spectrum. Such structured approaches can produce reliable and transparent behaviors with reduced compute and data requirements by incorporating structures from fields like dynamical systems\, geometry\, and physics. While promising\, structured robot learning faces challenges in complex\, open-world problems. \nThis workshop aims to bring together researchers working on structured learning topics. The goals are to identify advantages and limitations of structured learning\, explore new directions for applying it to general robotic tasks\, and foster collaborations. By bridging the gap between analytical and learning-based methods\, structured learning offers a promising path forward in robotics research.
URL:https://2025.ieee-icra.org/event/structured-learning-for-efficient-reliable-and-transparent-robots/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T185522Z
LAST-MODIFIED:20250425T145521Z
UID:10000151-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:3rd Workshop on Multilateral Human-Interaction-Oriented Teleoperation
DESCRIPTION:Meeting Room: 304 \nTeleoperation systems have benefited from their mechanical and technological components\, physical connections between diverse human-machine interfaces\, low-latency communication protocols\, and advanced control strategies. \nHowever\, this perspective often overlooks the nuanced aspects of human interaction and cognitive engagement in remote operation scenarios. This oversight can lead to suboptimal user experiences\, increased cognitive load\, and reduced operational efficiency. \nConversely\, emphasizing how humans perceive\, engage with\, and adapt to various teleoperated interfaces and scenarios can foster more intuitive\, efficient\, and adaptable teleoperation systems that align closely with human cognitive and sensory capacities. \nThe two focal points converge to construct a paradigm of human-interaction-oriented teleoperation augmentation\, stimulating more adaptability and user-friendliness. This 2nd ICRA workshop on Multilateral Teleoperation will provide a platform to delve into the forefront of teleoperation augmentation by seamlessly merging multi-dimensional aspects of human factors\, robotics\, control\, and embodied AI from the human-interaction-oriented perspective\, such as the multimodal sensory feedback and large models to align closely with human cognitive and sensory capacities. \nTen experts from academia and industry will present the state-of-the-art on topics including: \n\nInteraction modalities\nOperation subjects (single/multiple humans/robots)\nPerformance criteria (e.g.\, user preferences\, mental load\, maneuverability)\nPractical applications and future challenges arising from the interaction-centric perspective.
URL:https://2025.ieee-icra.org/event/3rd-workshop-on-multilateral-human-interaction-oriented-teleoperation/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T185624Z
LAST-MODIFIED:20250425T145538Z
UID:10000154-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Revealing the Bodily Expression of Human Counterparts for Robots Using Dance Theory and AI
DESCRIPTION:Meeting Room: 406 \nHow do we make a machine that indicates changes to its internal state\, e.g.\, goals\, attitude\, or even emotion\, through changes in movement profiles? That is\, how do we build a machine that is fluent in body-language? This workshop will pose a possible direction toward such ends that leverages movement notation as a source for clearly defining abstract concepts of similarity and symbolic representation of the parts and patterns of movement – in order to identify\, record\, and interpret patterns of human movement on both the micro and macro levels. \nFirst\, we will move together. This will activate an innate ability to imitate each other and\, in doing so\, illuminate the principal components of Laban/Bartenieff Movement Studies and the Body\, Effort\, Shape\, Space\, and Time (BESST) System of movement analysis. \nNext\, we will try to write down what we’re doing. A set of symbols for describing elements of the BESST System\, which seem to be particularly perceptually meaningful to human observers\, will be presented so that movement ideas can be notated and\, thus\, translated between bodies. \nA keynote talk frames the material of the tutorial for broader arts-based research in robotics. This workshop is supported by NSF award #2234196.
URL:https://2025.ieee-icra.org/event/revealing-the-bodily-expression-of-human-counterparts-for-robots-using-dance-theory-and-ai/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190934Z
LAST-MODIFIED:20250425T145553Z
UID:10000135-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:25 years of Aerial Robotics: Challenges and Opportunities
DESCRIPTION:Meeting Room: 410 \nThis proposal responds to numerous requests over the past year\, especially from the younger generation of aerial robotics researchers. Aerial robotics has undergone a pioneering evolution\, continually expanding the boundaries of what is achievable in the skies. Today\, we aim to celebrate and reflect on 25 years of transformative innovations\, challenges overcome\, and remarkable progress that has shaped this vibrant and evolving field. This reflection provides a platform to acknowledge past achievements while envisioning future opportunities and challenges. \nAerial robotics has embarked on a journey of continuous growth\, pushing the limits of what’s possible in our skies. This workshop will bring together experts\, researchers\, and practitioners to reflect on the evolution of aerial robotics\, discuss key state-of-the-art solutions\, and examine its major developments and current trends. The workshop will also explore future opportunities and challenges in this dynamic field. \nThe event will feature a mix of invited talks and interactive panels to spark discussions and foster collaborations among participants. Sessions will address topics including: \n\nUnmanned Aerial Systems innovations and applications\nNavigation and planning\nAerial robotic systems physically interacting with the environment\nPerception-based aerial robotics\nMulti-robot systems\n\nIn addition\, there will be a Call for Contributions\, and selected papers will be invited to give short presentations at the workshop. This event will offer young researchers a platform to gain a comprehensive overview of the state of the art in the field\, while encouraging innovative research ideas and technological advancements. \nParticularly\, the program will include a Young Researchers Panel\, providing early-career participants with a dedicated space to engage with senior experts and peers. This workshop aims to inspire the next generation of aerial robotics researchers and foster a collaborative\, forward-thinking community.
URL:https://2025.ieee-icra.org/event/25-years-of-aerial-robotics-challenges-and-opportunities/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190935Z
LAST-MODIFIED:20250425T145609Z
UID:10000100-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Language and Semantics of Task and Motion Planning
DESCRIPTION:Meeting Room: 305 \nGenerating complex robot behavior requires reasoning simultaneously on both discrete\, task-related decisions and feasibility of continuous motions. \nThis problem is often referred to as Task And Motion Planning (TAMP). Research into TAMP approaches has proceeded for well over a decade\, yielding key results and algorithms. \nYet a prerequisite for such approaches is specification of the planning problem; beyond classic issues of knowledge engineering\, varying assumptions on TAMP formulations require varying aspects to the specification\, e.g.\, grasp information\, placements\, and manipulation strategies. \nAddressing such issues of specification\, semantics\, and learning will enhance fair comparison\, progress\, and application in TAMP.
URL:https://2025.ieee-icra.org/event/language-and-semantics-of-task-and-motion-planning/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145629Z
UID:10000127-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Amphibious Robotics Workshop
DESCRIPTION:Meeting Room: 403 \nThe rapidly evolving field of cross-domain robotics\, particularly amphibious systems\, represents a frontier that bridges multiple research communities. This workshop aims to connect researchers studying enabling technologies—such as underwater SLAM and swarm control—with industrial experts developing robotic platforms and scientists utilizing these platforms to study natural environments. By bringing together these diverse groups\, we will identify unique challenges in transitioning between environments and address the complexities of designing and controlling such systems. \nOur goal is to foster collaboration between technology developers and end-users\, exploring key challenges including energy efficiency\, environmental sensing\, material adaptability\, and the integration of multi-modal locomotion strategies. The workshop will focus on establishing a holistic framework for advancing cross-domain robotics\, emphasizing performance\, reliability\, and adaptability across varying terrains and mediums. \nThrough collaborative sessions\, we aim to lay the groundwork for standardized approaches that will guide future research and development in amphibious robotics. By facilitating dialogue between different research communities\, we hope to drive innovations that enable robots to seamlessly navigate and function in diverse and dynamic environments while also serving the needs of scientists studying these ecosystems.
URL:https://2025.ieee-icra.org/event/amphibious-robotics-workshop/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145831Z
UID:10000128-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Human-Centric Robotics for Telepresence
DESCRIPTION:Meeting Room: 405 \nThe workshop “Human-Centric Robotics for Telepresence” aims to explore the impact of telepresence robotics with a focus on enriching user experience and promoting societal well-being. This interdisciplinary event will emphasize the critical role of human factors in shaping robotic applications across industries\, healthcare\, and beyond. \nParticipants will discuss how both technological and ergonomic insights can enhance the operational effectiveness\, user experience\, and acceptance of telepresence technologies\, while also considering their ethical and societal implications. By bringing together experts from diverse fields such as engineering and ergonomics\, the workshop will highlight successful implementations and lessons learned across various sectors\, providing practical insights into overcoming challenges and maximizing benefits. \nThe outcomes of this workshop will directly contribute to key initiatives\, including the IEEE-RAS TC on Telerobotics\, the IEA TC on Human Factors in Robotics\, and the IEEE-Telepresence Roadmap\, which is currently in development. This synergy will foster collaboration and drive progress beyond the mentioned communities. \nFollowing the presentations by invited experts\, the workshop will feature interactive discussions. A SWOT (Strengths\, Weaknesses\, Opportunities\, Threats) analysis will be conducted\, followed by a focused roadmap discussion involving the audience\, with special consideration for the perspectives of postdoctoral and doctoral fellows.
URL:https://2025.ieee-icra.org/event/human-centric-robotics-for-telepresence/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250515T144826Z
UID:10000129-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Soft Robotics for Space Applications
DESCRIPTION:Meeting Room: International Ballroom A (Omni Hotel) \nRecent advancements in soft robotic systems have led to innovative solutions across various space applications. These include enhancements in surface and aerial exploration\, advanced maintenance and inspection techniques to extend the longevity of space infrastructure\, and the development of materials and systems capable of withstanding extreme space conditions. \nActive research in this field includes inflatable structures for deployable habitats\, efficient sample collection methods\, flame-retardant skins for safety in volatile environments\, and novel approaches to space debris mitigation. Despite significant progress\, the community has yet to convene to collectively discuss and identify the most impactful areas for soft robotics in space applications and foster potential collaborations. \nThis workshop is structured around two main objectives. First\, it aims to create a platform for experts to exchange insights\, present current challenges\, and explore future research directions and funding opportunities. Second\, it will host a panel discussion featuring specialists from both space and soft robotics fields to examine challenges in space missions and explore how soft robotics can provide innovative solutions. \nBy fostering these discussions\, the workshop seeks to spark new collaborations and drive advancements in integrating soft robotics into space exploration.
URL:https://2025.ieee-icra.org/event/soft-robotics-for-space-applications/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145757Z
UID:10000130-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Beyond the Lab: Robust Planning and Control in Real World Scenarios
DESCRIPTION:Meeting Room: Sidney Marcus Auditorium \nThe integration of robots into our daily lives depends on their ability to operate reliably and safely in complex\, dynamic environments. Despite significant progress\, achieving robust performance under uncertainty remains a major challenge. Real-time robust planning is computationally demanding\, particularly for tasks such as whole-body control of multi-body robots or handling hybrid dynamics in contact-based interactions. \nAn essential component of this challenge is accurately considering the effects of uncertainties on future plans. However\, despite considerable advancements\, efficient uncertainty representation and propagation remain immature for fast\, real-time control of complex robots in general real-world tasks. \nThis workshop aims to address these challenges by bringing together top researchers and practitioners to explore the state of the art in integrated robust planning and control in the presence of uncertainties. We will focus on planning strategies that ensure system functionality despite disturbances and uncertainties\, aligning with the growing trend toward optimization-based predictive control. \nThe workshop will cover a range of methodologies that balance formality and practicality while addressing uncertainties in tasks involving motion\, manipulation\, and interaction. Our goal is to showcase the best our community has to offer in enhancing the practical applicability of robots in uncertain real-world scenarios.
URL:https://2025.ieee-icra.org/event/beyond-the-lab-robust-planning-and-control-in-real-world-scenarios/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145741Z
UID:10000131-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:The Future of Intelligent Manufacturing: From innovation to implementation
DESCRIPTION:Meeting Room: International Ballroom D (Omni Hotel) \nThis workshop will focus on bridging the gap between state-of-the-art innovation and industrial implementation for flexible manufacturing technologies. By bringing together a global community of manufacturing technologists from academia and industry\, we aim to foster open discussions on shopfloor challenges\, bottlenecks\, and strategies to align future innovations with real-world implementation. \nThe workshop will center around four critical areas: \n\nConnected Reconfigurable Manufacturing\nIndustrial Robotics and Automation\nHuman-Machine Interaction\nAI-Enabled Manufacturing Capability\n\nEach topic will begin with a keynote address from a leading expert\, providing an overview of the latest research trends. Following the keynote\, a panel of academic and industry leaders will discuss the practical challenges and opportunities associated with implementing these technologies in real-world settings. \nThe workshop will also feature Impact Clinics\, where students and early-career researchers can present their innovations. Senior academics and industry professionals will offer feedback on how these ideas can be refined for greater industrial impact. \nThe event will conclude with a round-table discussion\, summarizing key insights and identifying the challenges and opportunities in building the intelligent factories of the future. This workshop offers a unique platform for fostering collaboration between researchers and industry\, encouraging innovation that drives tangible progress in manufacturing.
URL:https://2025.ieee-icra.org/event/the-future-of-intelligent-manufacturing-from-innovation-to-implementation/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145724Z
UID:10000132-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:5th Workshop: Reflections on Representations and Manipulating Deformable Objects
DESCRIPTION:Meeting Room: 404 \nOver the past five years\, significant progress has been made in deformable object (DO) manipulation\, spanning breakthroughs in representation\, simulation\, and control\, as well as the integration of machine learning and large models for improved perception. Despite these advancements\, key challenges persist\, particularly in developing a unified framework for DO representation across different domains. \nThe “5th Workshop: Reflections on Representations and Manipulating Deformable Objects” aims to critically review recent developments and identify future research priorities. Key topics will include state representation\, non-linear dynamic modeling\, and the application of advanced models like vision-language models (VLMs). \nThe workshop will highlight progress in learning-based methods\, such as reinforcement and imitation learning\, which have enhanced robotic dexterity in handling deformable materials. Additionally\, it will explore the role of low-cost hardware and open datasets in accelerating research and making advancements more accessible. \nBy bringing together researchers and industry experts\, this workshop seeks to shape the future of DO manipulation\, fostering collaboration and innovation in this rapidly evolving field.
URL:https://2025.ieee-icra.org/event/5th-workshop-reflections-on-representations-and-manipulating-deformable-objects/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145707Z
UID:10000133-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Enhancing Human Mobility: From Computer Vision-Based Motion Tracking to Wearable Assistive Robot Control
DESCRIPTION:Meeting Room: 316 \nAs wearable robotic devices for human movement assistance and rehabilitation transition into real-world applications\, their ability to autonomously and seamlessly adapt to varying environmental conditions and user needs is crucial. Lower-limb exoskeletons and prostheses\, for example\, must dynamically adjust their assistance profiles to accommodate different motor activities\, such as level-ground walking or stair climbing. Achieving this requires not only recognizing user intentions but also gathering comprehensive information about the surroundings. \nComputer vision offers rich\, direct\, and interpretable data that surpasses non-visual sensors like encoders and inertial measurement units\, making it a promising tool for enhancing context awareness in wearable robots. However\, integrating computer vision into wearable robotic control presents several challenges\, including: \n\nEnsuring the real-time feasibility of vision model outputs\nMaintaining model robustness across diverse mobility contexts and dynamic user movements\nEffectively fusing onboard sensor data with visual information\n\nThis workshop aims to address these challenges by exploring the latest engineering solutions for computer vision-based human motion tracking and control strategies for wearable robotic systems designed to augment human locomotion. By bridging the gap between wearable robotics and computer vision researchers\, as well as fostering collaboration between academia and industry\, we seek to provide a roadmap for developing robust\, adaptable\, and context-aware vision-based control frameworks that can be successfully translated from the lab to real-world applications.
URL:https://2025.ieee-icra.org/event/enhancing-human-mobility-from-computer-vision-based-motion-tracking-to-wearable-assistive-robot-control/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145652Z
UID:10000134-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:RoboARCH: Robotics Acceleration with Computing Hardware and Systems
DESCRIPTION:Meeting Room: 408 \nAutonomous robots must operate in real-time within dynamic environments\, requiring robust performance across diverse scales. To achieve this\, roboticists are increasingly leveraging heterogeneous deployments across edge and cloud infrastructures\, while integrating and co-designing robotics algorithms for various computing hardware\, including CPUs\, GPUs\, FPGAs\, MCUs\, and even custom accelerator ASICs (e.g.\, Neuromorphic processors). \nA key challenge for the future of robotics will be determining the optimal allocation of algorithms to computer hardware and choosing the right combination of heterogeneous hardware onboard robotic systems to balance performance with power. Additionally\, identifying the right software engineering practices and paradigms to broaden access to these advanced approaches across the robotics community will be critical. \nThis workshop is designed to build a welcoming community and ignite innovation and collaboration at the exciting intersection of robotics\, computer software\, systems\, and architecture. It will focus on the development and enablement of advanced robotic systems through cutting-edge computational solutions for the benefit of all. \nFeaturing talks and panels from distinguished speakers in both academia and industry\, the workshop will explore the challenges and opportunities presented by emerging computing technologies in high-performance robotics. The event will also showcase posters and lightning talks from students and professionals\, providing a platform for sharing ideas\, receiving feedback\, and networking. \nTo ensure a lasting impact\, a comprehensive white paper summarizing key findings\, discussions\, and collaborative ideas generated during the workshop will be published\, serving as a valuable resource to propel this exciting research direction forward.
URL:https://2025.ieee-icra.org/event/roboarch-robotics-acceleration-with-computing-hardware-and-systems/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250220T185506Z
LAST-MODIFIED:20250425T145846Z
UID:10000169-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Advances in Social Robot Navigation: Planning\, HRI\, and Beyond
DESCRIPTION:Meeting Room: 313 \nRobots navigating through uncontrolled human spaces face many challenges due to the uncertainty of human behavior and the unstructured nature of environmental context and social rules. Social robot navigation combines planning with human-robot interaction and communication strategies to provide acceptable\, context-dependent robot behavior. With recent rapid transformations in AI\, social robot navigation is changing\, and the Advances in Social Robot Navigation workshop explores these innovations in areas including planning\, human-robot interaction\, and beyond. \nThis full-day workshop brings together experts in these fields for invited talks\, panel discussions\, and participant presentations on advances in social robot navigation. The workshop will also host the Arena 4.0 challenge on benchmarking social robot navigation strategies through a set of AI-enabled open-source tools. Building on our successful series of workshops at ICRA’22\, IROS’23\, and RSS’24\, this workshop aims to investigate key aspects that make robot navigation more acceptable\, legible\, and social. This includes motion-task planning techniques\, foundation models\, human robot interaction\, communication strategies\, and human understanding ranging from individual behavior to pedestrian and crowd dynamics. We invite researchers from these fields to submit short papers and participate in our benchmark challenge\, and to join us for a workshop designed to encourage discussion.
URL:https://2025.ieee-icra.org/event/advances-in-social-robot-navigation-planning-hri-and-beyond-2/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260406T102223
CREATED:20250227T180059Z
LAST-MODIFIED:20250516T150422Z
UID:10000177-1747989000-1748021400@2025.ieee-icra.org
SUMMARY:Workshops/Tutorials
DESCRIPTION:For a detailed list of workshops and tutorials taking place at ICRA 2025\, please visit this page: https://2025.ieee-icra.org/workshops-and-tutorials/
URL:https://2025.ieee-icra.org/event/workshops-tutorials-2/
CATEGORIES:Daily Schedule,Homepage Feed
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260601
DTEND;VALUE=DATE:20260607
DTSTAMP:20260406T102223
CREATED:20250606T155021Z
LAST-MODIFIED:20250606T173756Z
UID:10000221-1780272000-1780790399@2025.ieee-icra.org
SUMMARY:ICRA 2026 - Vienna\, Austria
DESCRIPTION:
URL:https://2025.ieee-icra.org/event/icra-2026-vienna-austria/
CATEGORIES:Homepage Feed
END:VEVENT
END:VCALENDAR