activity
20132026
most citedTowards Robotic Feeding: Role of Haptics in Fork-based Food Manipulation

62 citations · 102 across the 43 of their papers we have counts for

collaborators

46 papers

cs.RO2026

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation

Rishabh Madan, Angchen Xie, Samantha Saak +7

Whole-arm manipulation involves direct contact with the environment while the robot completes a task by distributing contact across multiple links as contacts form, slide, and brea…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

Using Vision-Language Models as Proxies for Social Intelligence in Human-Robot Interaction

Fanjun Bu, Melina Tsai, Audrey Tjokro +3

Robots operating in everyday environments must often decide when and whether to engage with people, yet such decisions often hinge on subtle nonverbal cues that unfold over time an…

cs.RO2025

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…

cs.LG2025

EgoCogNav: Cognition-aware Human Egocentric Navigation

Zhiwen Qiu, Ziang Liu, Wenqian Niu +2

Modeling the cognitive and experiential factors of human navigation is central to deepening our understanding of human-environment interaction and to enabling safe social navigatio…

cs.RO2025

WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding

Akhil Padmanabha, Jessie Yuan, Tanisha Mehta +10

Millions of people around the world need assistance with feeding. Robotic feeding systems offer the potential to enhance autonomy and quality of life for individuals with impairmen…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

GRACE: Generalizing Robot-Assisted Caregiving with User Functionality Embeddings

Ziang Liu, Yuanchen Ju, Yu Da +6

Robot caregiving should be personalized to meet the diverse needs of care recipients -- assisting with tasks as needed, while taking user agency in action into account. In physical…

cs.RO2025

CART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent Model Predictive Control

Ruolin Ye, Shuaixing Chen, Yunting Yan +6

Bed-to-wheelchair transferring is a ubiquitous activity of daily living (ADL), but especially challenging for caregiving robots with limited payloads. We develop a novel algorithm…

cs.RO2025★ 1 cited

Kiri-Spoon: A Kirigami Utensil for Robot-Assisted Feeding

Maya Keely, Brandon Franco, Casey Grothoff +4

For millions of adults with mobility limitations, eating meals is a daily challenge. A variety of robotic systems have been developed to address this societal need. Unfortunately,…

cs.RO2024★ 1 cited

REPeat: A Real2Sim2Real Approach for Pre-acquisition of Soft Food Items in Robot-assisted Feeding

Nayoung Ha, Ruolin Ye, Ziang Liu +2

The paper presents REPeat, a Real2Sim2Real framework designed to enhance bite acquisition in robot-assisted feeding for soft foods. It uses `pre-acquisition actions' such as pushin…

cs.RO2024★ 1 cited

FLAIR: Feeding via Long-horizon AcquIsition of Realistic dishes

Rajat Kumar Jenamani, Priya Sundaresan, Maram Sakr +2

Robot-assisted feeding has the potential to improve the quality of life for individuals with mobility limitations who are unable to feed themselves independently. However, there ex…

cs.RO2024★ 1 cited

MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loop

Ruolin Ye, Yifei Hu, Yuhan +3

Meal preparation is an important instrumental activity of daily living~(IADL). While existing research has explored robotic assistance in meal preparation tasks such as cutting and…

cs.RO2024

CushSense: Soft, Stretchable, and Comfortable Tactile-Sensing Skin for Physical Human-Robot Interaction

Boxin Xu, Luoyan Zhong, Grace Zhang +4

Whole-arm tactile feedback is crucial for robots to ensure safe physical interaction with their surroundings. This paper introduces CushSense, a fabric-based soft and stretchable t…

cs.RO2024

To Ask or Not To Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding

Rohan Banerjee, Rajat Kumar Jenamani, Sidharth Vasudev +4

Robot-assisted bite acquisition involves picking up food items with varying shapes, compliance, sizes, and textures. Fully autonomous strategies may not generalize efficiently acro…

cs.RO2024

An Adaptable, Safe, and Portable Robot-Assisted Feeding System

Ethan Kroll Gordon, Rajat Kumar Jenamani, Amal Nanavati +12

We demonstrate a robot-assisted feeding system that enables people with mobility impairments to feed themselves. Our system design embodies Safety, Portability, and User Control, w…

cs.RO2024

Feel the Bite: Robot-Assisted Inside-Mouth Bite Transfer using Robust Mouth Perception and Physical Interaction-Aware Control

Rajat Kumar Jenamani, Daniel Stabile, Ziang Liu +3

Robot-assisted feeding can greatly enhance the lives of those with mobility limitations. Modern feeding systems can pick up and position food in front of a care recipient's mouth f…