2 papers
cs.RO2025
KARL: Kalman-Filter Assisted Reinforcement Learner for Dynamic Object Tracking and Grasping
Kowndinya Boyalakuntla, Abdeslam Boularias, Jingjin Yu
We present Kalman-filter Assisted Reinforcement Learner (KARL) for dynamic object tracking and grasping over eye-on-hand (EoH) systems, significantly expanding such systems capabil…
cs.RO2024
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement
Haonan Chang, Kai Gao, Kowndinya Boyalakuntla +5
We introduce a novel approach to the executable semantic object rearrangement problem. In this challenge, a robot seeks to create an actionable plan that rearranges objects within…