13 citations · 13 across the 3 of their papers we have counts for
3 papers
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach
Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal +3
Automatically detecting and recovering from failures is an important but challenging problem for autonomous robots. Most of the recent work on learning to plan from demonstrations…
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh +7
Effective human-robot collaboration requires the ability to learn personalized concepts from a limited number of demonstrations, while exhibiting inductive generalization, hierarch…
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal +5
Given a natural language instruction and an input scene, our goal is to train a model to output a manipulation program that can be executed by the robot. Prior approaches for this…