3 citations · 9 across the 13 of their papers we have counts for
13 papers
Scaling Short-Term Memory of Visuomotor Policies for Long-Horizon Tasks
Rutav Shah, Rajat Kumar Jenamani, Xiaohan Zhang +5
Many robotic tasks require short-term memory, whether it's retrieving an object that's no longer visible or turning off an appliance after a set period. Yet, most visuomotor polici…
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…
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…
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,…
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…
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…
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…
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…
SPARCS: Structuring Physically Assistive Robotics for Caregiving with Stakeholders-in-the-loop
Rishabh Madan, Rajat Kumar Jenamani, Vy Thuy Nguyen +4
Existing work in physical robot caregiving is limited in its ability to provide long-term assistance. This is majorly due to (i) lack of well-defined problems, (ii) diversity of ta…
RCareWorld: A Human-centric Simulation World for Caregiving Robots
Ruolin Ye, Wenqiang Xu, Haoyuan Fu +5
We present RCareWorld, a human-centric simulation world for physical and social robotic caregiving designed with inputs from stakeholders, including care recipients, caregivers, oc…
Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks
Kushal Kedia, Rajat Kumar Jenamani, Aritra Hazra +1
Multi-Agent Path Finding (MAPF) is the problem of finding collision-free paths for multiple agents from their start locations to end locations. We consider an extension to this pro…
Robotic Motion Planning using Learned Critical Sources and Local Sampling
Rajat Kumar Jenamani, Rahul Kumar, Parth Mall +1
Sampling based methods are widely used for robotic motion planning. Traditionally, these samples are drawn from probabilistic ( or deterministic ) distributions to cover the state…