In this workshop, we explore the unique challenges and opportunities that multi-agent systems (MAS) present for push manipulation of loose materials for site preparation and prefabricated assembly. Specifically, this workshop […]
Precision agriculture techniques are essential for increasing crop yields while reducing environmental impact, particularly in the face of climate change effects. Commercial robotic solutions are actively being deployed to assist […]
This full-day workshop will showcase the cutting edge of research and practice in autonomous robotics for the management and control of wildland fire. Wildland fire management presents daunting challenges due […]
In the past decade, research into medical robotics has surged, with thousands of academic papers published each year, and the field gaining ever-increasing attention. Despite this growing ubiquity in academic […]
Medical imaging plays a vital role in modern clinical practice, providing valuable information to physicians for diagnosis, image-guided surgeries, and more. Due to the high precision and reproducibility of robotic […]
This is the 6th edition of the ViTac workshop at the ICRA conferences, following successful workshops at ICRA 2019, 2020, 2021, 2023, and 2024. This year’s workshop will also coincide […]
With robots being increasingly deployed in complex, dynamic environments, their ability to sense, plan, and act autonomously with intelligence is crucial for ensuring both agility and robustness. While computational intelligence […]
In recent years, robot learning has made significant progress, with advances in general manipulation capabilities. Solutions using foundation models and vast collections of human demonstrations have shown strong generalization. Additionally, […]
This workshop, organized by the IEEE Working Group on Reproducibility in Soft Robotics, focuses on engaging the community to discuss reproducibility issues within the field. Soft robotics often involves the […]
This 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 […]
