Rohan Chandra

According to our database, Rohan Chandra authored at least 54 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation.

Vrushabh Zinage, Abhishek Jha, Rohan Chandra, Efstathios Bakolas

CoRR, 2024

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.

Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

CoRR, 2024

Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds.

Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas

CoRR, 2024

GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control.

Nilesh Suriyarachchi, Rohan Chandra, Arya Anantula, John S. Baras, Dinesh Manocha

CoRR, 2024

Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios.

Chirag Parikh, Ravi Shankar Mishra, Rohan Chandra, Ravi Kiran Sarvadevabhatla

CoRR, 2024

Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds.

Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Disturbance Observer-Based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree.

Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas

Proceedings of the American Control Conference, 2024

SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces.

Rohan Chandra, Zayne Sprague, Joydeep Biswas

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SocialMapf: Optimal and Efficient Multi-Agent Path Finding With Strategic Agents for Social Navigation.

Rohan Chandra, Rahul Maligi, Arya Anantula, Joydeep Biswas

IEEE Robotics Autom. Lett., June, 2023

Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints.

Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas

CoRR, 2023

Targeted Learning: A Hybrid Approach to Social Robot Navigation.

Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao

CoRR, 2023

Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions.

Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone

CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.

Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin

CoRR, 2023

Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization.

Rohan Chandra, Rahul Menon, Zayne Sprague, Arya Anantula, Joydeep Biswas

CoRR, 2023

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning.

Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha

CoRR, 2023

SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces.

Zayne Sprague, Rohan Chandra, Jarrett Holtz, Joydeep Biswas

CoRR, 2023

METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors.

Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning.

Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha

Proceedings of the Conference on Robot Learning, 2023

2022

Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior.

Rohan Chandra, Aniket Bera, Dinesh Manocha

IEEE Trans. Intell. Transp. Syst., 2022

B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving.

Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha

IEEE Robotics Autom. Lett., 2022

GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments.

Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Dinesh Manocha

IEEE Robotics Autom. Lett., 2022

GamePlan: Game-Theoretic Multi-Agent Planning With Human Drivers at Intersections, Roundabouts, and Merging.

Rohan Chandra, Dinesh Manocha

IEEE Robotics Autom. Lett., 2022

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs.

Trisha Mittal, Puneet Mathur, Rohan Chandra, Apurva Bhatt, Vikram Gupta, Debdoot Mukherjee, Aniket Bera, Dinesh Manocha

CoRR, 2022

GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections.

Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha

CoRR, 2022

M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers.

Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections.

Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers.

Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

METEOR: A Massive Dense & Heterogeneous Behavior Dataset for Autonomous Driving.

Rohan Chandra, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha

CoRR, 2021

GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments.

Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Dinesh Manocha

CoRR, 2021

BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments.

Divya Kothandaraman, Rohan Chandra, Dinesh Manocha

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments.

Divya Kothandaraman, Rohan Chandra, Dinesh Manocha

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs.

Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

IEEE Robotics Autom. Lett., 2020

SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments.

Divya Kothandaraman, Rohan Chandra, Dinesh Manocha

CoRR, 2020

StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories.

Rohan Chandra, Aniket Bera, Dinesh Manocha

CoRR, 2020

B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation.

Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha

CoRR, 2020

BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments.

Divya Kothandaraman, Rohan Chandra, Dinesh Manocha

CoRR, 2020

Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues.

Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

CoRR, 2020

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues.

Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CMetric: A Driving Behavior Measure using Centrality Functions.

Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors.

Adarsh Jagan Sathyamoorthy, Jing Liang, Utsav Patel, Tianrui Guan, Rohan Chandra, Dinesh Manocha

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments.

Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.

Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.

Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha

Proceedings of the Computer Vision - ECCV 2020, 2020

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle.

Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues.

Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits.

Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.

Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Aniket Bera, Dinesh Manocha

CoRR, 2019

RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments.

Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

CoRR, 2019

DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features.

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions.

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs.

Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha

Proceedings of the ACM Computer Science in Cars Symposium, 2019

2017

Texture Synthesis with Recurrent Variational Auto-Encoder.

Rohan Chandra, Sachin Grover, Kyungjun Lee, Moustafa Meshry, Ahmed Taha

CoRR, 2017

PhasePack User Guide.

Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein

CoRR, 2017

PhasePack: A phase retrieval library.

Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017