8 papers
A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies
Rohan Banerjee, Krishna Palempalli, Bohan Yang +5
Robots operating in unstructured human environments inevitably encounter failures, especially in robot caregiving scenarios. While humans can often help robots recover, excessive o…
CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception
Pranav N. Thakkar, Shubhangi Sinha, Karan Baijal +11
Robust robot manipulation in unstructured environments often requires understanding object properties that extend beyond geometry, such as material or compliance-properties that ca…
PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
Rishabh Madan, Jiawei Lin, Mahika Goel +10
Physical human-robot interaction (pHRI) requires robots to adapt to individual contact preferences, such as where and how much force is applied. Identifying preferences is difficul…
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…
FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization
Rajat Kumar Jenamani, Tom Silver, Ben Dodson +7
Physical caregiving robots hold promise for improving the quality of life of millions worldwide who require assistance with feeding. However, in-home meal assistance remains challe…
Coloring Between the Lines: Personalization in the Null Space of Planning Constraints
Tom Silver, Rajat Kumar Jenamani, Ziang Liu +2
Generalist robots must personalize in-the-wild to meet the diverse needs and preferences of long-term users. How can we enable flexible personalization without sacrificing safety o…