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20202024
most citedLearning Cooperative Multi-Agent Policies with Partial Reward Decoupling

6 citations · 10 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2024★ 1 cited

LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have +10

The ability of Language Models (LMs) to understand natural language makes them a powerful tool for parsing human instructions into task plans for autonomous robots. Unlike traditio…

cs.RO2023

Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots

Aditya Kapoor, Vartika Sengar, Nijil George +4

Tracking of inventory and rearrangement of misplaced items are some of the most labor-intensive tasks in a retail environment. While there have been attempts at using vision-based…

cs.RO2023

SocNavGym: A Reinforcement Learning Gym for Social Navigation

Aditya Kapoor, Sushant Swamy, Luis Manso +1

It is essential for autonomous robots to be socially compliant while navigating in human-populated environments. Machine Learning and, especially, Deep Reinforcement Learning have…

cs.RO2022★ 1 cited

Challenges in Applying Robotics to Retail Store Management

Vartika Sengar, Aditya Kapoor, Nijil George +4

An autonomous retail store management system entails inventory tracking, store monitoring, and anomaly correction. Recent attempts at autonomous retail store management have faced…

cs.RO2020

A Toolkit to Generate Social Navigation Datasets

Rishabh Baghel, Aditya Kapoor, Pilar Bachiller +3

Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians'…