Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

IEEE International Conference on Robotics and Automation (ICRA), 2017

25 October 2017

Papers citing "Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction"

50 / 107 papers shown

Title
Unified Generation-Refinement Planning: Bridging Guided Flow Matching and Sampling-Based MPC for Social Navigation Kazuki Mizuta Karen Leung 105 0 0 02 Aug 2025
OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Yang Gao Po-Chien Luan Kaouther Messaoud Lan Feng Alexandre Alahi AI4TS 123 0 0 31 Jul 2025
Continual Learning for Multiple Modalities Hyundong Jin Eunwoo Kim CLL 342 0 0 11 Mar 2025
Unified Human Localization and Trajectory Prediction with Monocular VisionIEEE International Conference on Robotics and Automation (ICRA), 2025 Po-Chien Luan Yang Gao Celine Demonsant Alexandre Alahi 249 2 0 05 Mar 2025
Hierarchical Imitation Learning of Team Behavior from Heterogeneous DemonstrationsAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 Sangwon Seo Vaibhav Unhelkar 191 3 0 24 Feb 2025
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and PlanningAAAI Conference on Artificial Intelligence (AAAI), 2025 Xiaolei Chen Junchi Yan Wenlong Liao Tao He Pai Peng 237 6 0 22 Jan 2025
Multi-Transmotion: Pre-trained Model for Human Motion PredictionConference on Robot Learning (CoRL), 2024 Yang Gao Po-Chien Luan Alexandre Alahi 181 16 0 04 Nov 2024
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functionsAmerican Control Conference (ACC), 2024 Isaac Remy David Fridovich-Keil Karen Leung 121 2 0 09 Oct 2024
Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2024 Xuanjin Jin Chendong Zeng Shengfa Zhu Chunxiao Liu Panpan Cai 215 0 0 27 Sep 2024
Towards Using Fast Embedded Model Predictive Control for Human-Aware Predictive Robot Navigation Till Hielscher Lukas Heuer Frederik Wulle Luigi Palmieri 131 0 0 21 May 2024
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction Jay Patrikar Sushant Veer Apoorva Sharma Marco Pavone Sebastian A. Scherer 196 1 0 18 May 2024
IDIL: Imitation Learning of Intent-Driven Expert Behavior Sangwon Seo Vaibhav Unhelkar 96 6 0 25 Apr 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian MixtureComputer Vision and Pattern Recognition (CVPR), 2024 Juanwu Lu Can Cui Yunsheng Ma Aniket Bera Ziran Wang 137 8 0 04 Apr 2024
Legible and Proactive Robot Planning for Prosocial Human-Robot InteractionsIEEE International Conference on Robotics and Automation (ICRA), 2024 Jasper Geldenbott Karen Leung 219 8 0 04 Apr 2024
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in CrowdsIEEE International Conference on Robotics and Automation (ICRA), 2024 Kanghyun Ryu Negar Mehr 189 13 0 08 Mar 2024
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior PredictionIEEE International Conference on Robotics and Automation (ICRA), 2023 Ravi Pandya Zhuoyuan Wang Yorie Nakahira Changliu Liu 213 9 0 20 Nov 2023
Interaction-Aware Sampling-Based MPC with Learned Local Goal PredictionsInternational Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023 Walter Jansma Elia Trevisan Álvaro Serra-Gómez Javier Alonso-Mora 722 5 0 26 Sep 2023
Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination AwarenessIEEE Transactions on Intelligent Vehicles (TIV), 2023 Jiaqi Liu Donghao Zhou Peng Hang Ying Ni Jian Sun 200 31 0 18 Sep 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory PredictorsConference on Robot Learning (CoRL), 2023 Sushant Veer Apoorva Sharma Marco Pavone 161 7 0 03 Jul 2023
Diffusion Co-Policy for Synergistic Human-Robot Collaborative TasksIEEE Robotics and Automation Letters (RA-L), 2023 Eley Ng Ziang Liu Monroe Kennedy DiffM 262 23 0 20 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 119 3 0 14 May 2023
Contingency Games for Multi-Agent InteractionIEEE Robotics and Automation Letters (RA-L), 2023 Lasse Peters Andrea V. Bajcsy Chih-Yuan Chiu David Fridovich-Keil F. Laine L. Ferranti Javier Alonso-Mora AI4CE 304 35 0 11 Apr 2023
Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots Pierre Lison C. Kennington 164 3 0 15 Mar 2023
Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent InteractionsIEEE International Conference on Robotics and Automation (ICRA), 2023 Zach Williams Jushan Chen Negar Mehr 136 28 0 08 Mar 2023
Large Language Models as Zero-Shot Human Models for Human-Robot InteractionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Bowen Zhang Harold Soh LLMAG LM&Ro 232 57 0 06 Mar 2023
Tree-structured Policy Planning with Learned Behavior ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023 Yuxiao Chen Peter Karkus Boris Ivanovic Xinshuo Weng Marco Pavone 177 34 0 27 Jan 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous VehiclesIEEE International Conference on Robotics and Automation (ICRA), 2022 Sushant Veer Karen Leung Ryan K. Cosner Yuxiao Chen Peter Karkus Marco Pavone 227 19 0 06 Dec 2022
Learning to Play Trajectory Games Against Opponents with Unknown ObjectivesIEEE Robotics and Automation Letters (RA-L), 2022 Xinjie Liu Lasse Peters Javier Alonso-Mora 241 35 0 24 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionConference on Robot Learning (CoRL), 2022 Masha Itkina Mykel J. Kochenderfer EDL UQCV 250 32 0 16 Nov 2022
Learning Autonomous Vehicle Safety Concepts from DemonstrationsAmerican Control Conference (ACC), 2022 Karen Leung Sushant Veer Edward Schmerling Marco Pavone 101 11 0 06 Oct 2022
RAP: Risk-Aware Prediction for Robust PlanningConference on Robot Learning (CoRL), 2022 Haruki Nishimura Jean Mercat Blake Wulfe R. McAllister Adrien Gaidon OOD 218 19 0 04 Oct 2022
It Takes Two: Learning to Plan for Human-Robot Cooperative CarryingIEEE International Conference on Robotics and Automation (ICRA), 2022 Eley Ng Ziang Liu Monroe Kennedy 143 21 0 26 Sep 2022
Robust Forecasting for Robotic Control: A Game-Theoretic ApproachIEEE International Conference on Robotics and Automation (ICRA), 2022 Shubhankar Agarwal David Fridovich-Keil Sandeep Chinchali AI4TS 197 4 0 22 Sep 2022
Multi-robot Mission Planning in Dynamic Semantic EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2022 Samarth Kalluraya George J. Pappas Y. Kantaros 247 30 0 13 Sep 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous VehiclesConference on Robot Learning (CoRL), 2022 Alec Farid Sushant Veer Boris Ivanovic Karen Leung Marco Pavone 271 29 0 25 Jul 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEsNeural Information Processing Systems (NeurIPS), 2022 Çağatay Yıldız M. Kandemir Barbara Rakitsch 284 14 0 24 May 2022
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsInternational Conference on Learning Representations (ICLR), 2022 Cassidy Laidlaw Anca Dragan OffRL 137 43 0 22 Apr 2022
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive PredictionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Chen Tang Wei Zhan Masayoshi Tomizuka 214 15 0 19 Apr 2022
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller Qianqian Liu Fengying Dang Xiaofan Wang Xiaoqiang Ren 167 15 0 03 Apr 2022
Multimodal Maximum Entropy Dynamic Games Oswin So Kyle Stachowicz Evangelos A. Theodorou 231 9 0 30 Jan 2022
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 105 12 0 02 Dec 2021
TIP: Task-Informed Motion Prediction for Intelligent Vehicles Xin Huang Guy Rosman A. Jasour Stephen G. McGill J. Leonard B. Williams 283 17 0 17 Oct 2021
Injecting Planning-Awareness into Prediction and Detection Evaluation Boris Ivanovic Marco Pavone 176 36 0 07 Oct 2021
Propagating State Uncertainty Through Trajectory Forecasting Boris Ivanovic Yifeng Lin Shubham Shrivastava Punarjay Chakravarty Marco Pavone 262 21 0 07 Oct 2021
Learning to Navigate Intersections with Unsupervised Driver Trait Inference Shuijing Liu Peixin Chang Haonan Chen Neeloy Chakraborty Katherine Driggs-Campbell SSL DRL 232 16 0 14 Sep 2021
Multi-Agent Variational Occlusion Inference Using People as Sensors Masha Itkina Ye-Ji Mun Katherine Driggs-Campbell Mykel J. Kochenderfer 150 28 0 05 Sep 2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering Raunak P. Bhattacharyya Soyeon Jung Liam A. Kruse Ransalu Senanayake Mykel Kochenderfer 124 35 0 29 Aug 2021
Rethinking Trajectory Forecasting Evaluation Boris Ivanovic Marco Pavone 141 15 0 21 Jul 2021
Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories Talha Kavuncu Ayberk Yaraneri Negar Mehr 111 43 0 10 Jul 2021
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios B. Brito Achint Agarwal Javier Alonso-Mora 184 20 0 09 Jul 2021