Neeloy Chakraborty

Orcid: 0000-0001-7132-6671

According to our database1, Neeloy Chakraborty authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation.
CoRR, 2024

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study.
CoRR, 2024

Cooperative Advisory Residual Policies for Congestion Mitigation.
CoRR, 2024

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation.
CoRR, 2024

Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art.
CoRR, 2024

2023
Towards Co-operative Congestion Mitigation.
CoRR, 2023

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation.
CoRR, 2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.
Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction.
CoRR, 2022

Learning to Navigate Intersections with Unsupervised Driver Trait Inference.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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