What Bimanual Teleoperation and Learning from Demonstration Can Do (WBCD) Today (in 2025) There have been lots of awesome works around the topic of bimanual teleoperation and learning from demonstration, employing various human sensing systems and robot embodiments. To name a few, ALOHA, Mobile ALOHA, DexCap, Open-TeleVision, HATO, GELLO, AirExo, UMI, etc. However, researchers design […]

"Millions of people worldwide require physical assistance with daily tasks, and with an aging population, this number is rising. Caregiving robots have the potential to increase care recipient independence and reduce caregiver workload. Despite considerable recent progress in the caregiving robotics field, it remains challenging to assess the state of the art, compare different approaches, […]

"As artificial intelligence gains new capabilities, it becomes important to evaluate it on real-world tasks. While software such as ChatGPT has recently revolutionized certain areas of AI, athletic intelligence seems to still be elusive in the AI community. To have better robots in the future which can perform a wide variety of dynamic tasks in […]

"Simulators have significantly accelerated engineering development in robotics, making a profound impact on advancing technological progress in this field. However, as simulation models cannot perfectly replicate robots' behavior in real world, there exists a notable sim-to-real gap. Given the high cost of acquiring large amounts of real-world robot data, data augmentation using simulators is an […]