2 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
Rui Liu, Zahiruddin Mahammad, Amisha Bhaskar +1
Robotic assistive feeding holds significant promise for improving the quality of life for individuals with eating disabilities. However, acquiring diverse food items under varying…
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
Amisha Bhaskar, Zahiruddin Mahammad, Sachin R Jadhav +1
Reinforcement Learning (RL) has shown remarkable progress in simulation environments, yet its application to real-world robotic tasks remains limited due to challenges in explorati…
Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types
Rui Liu, Amisha Bhaskar, Pratap Tokekar
In this study, we introduce a novel visual imitation network with a spatial attention module for robotic assisted feeding (RAF). The goal is to acquire (i.e., scoop) food items fro…
LAVA: Long-horizon Visual Action based Food Acquisition
Amisha Bhaskar, Rui Liu, Vishnu D. Sharma +2
Robotic Assisted Feeding (RAF) addresses the fundamental need for individuals with mobility impairments to regain autonomy in feeding themselves. The goal of RAF is to use a robot…