8 papers
SensorPerch: Sense Wherever and Whenever it Matters
Zhanxin Wu, Ruofei Tong, Tapomayukh Bhattacharjee
Existing robotic perception is constrained by sensors that are either robot-mounted or permanently fixed in the environment, locking perception to a limited set of viewpoints. Yet…
Embodiment Meets Environment: Toward Context-Aware, Safe Physical Caregiving Robots
Zhanxin Wu, Ruofei Tong, Jiaying Fang +1
Physical caregiving robots need to assist different users with different tasks in diverse environments, and they come in many embodiments. While substantial progress has been made…
Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems
Jiaying Fang, Joyce Yang, Zhanxin Wu +2
Conventional human-in-the-loop approaches typically involve users only when a robot encounters failure or uncertainty, treating humans primarily as tools for improving robot perfor…
Impact of Different Failures on a Robot's Perceived Reliability
Andrew Violette, Zhanxin Wu, Haruki Nishimura +5
Robots fail, potentially leading to a loss in the robot's perceived reliability (PR), a measure correlated with trustworthiness. In this study we examine how various kinds of failu…
OpenRoboCare: A Multimodal Multi-Task Expert Demonstration Dataset for Robot Caregiving
Xiaoyu Liang, Ziang Liu, Kelvin Lin +10
We present OpenRoboCare, a multimodal dataset for robot caregiving, capturing expert occupational therapist demonstrations of Activities of Daily Living (ADLs). Caregiving tasks in…
SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition
Zhanxin Wu, Bo Ai, Tom Silver +1
Robot-assisted feeding requires reliable bite acquisition, a challenging task due to the complex interactions between utensils and food with diverse physical properties. These inte…