Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
All Papers
0 / 0 papers shown
Title
Home
Papers
1710.09483
Cited By
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
IEEE International Conference on Robotics and Automation (ICRA), 2017
25 October 2017
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
Re-assign community
ArXiv (abs)
PDF
HTML
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
119
0
0
31 Jul 2025
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
326
0
0
11 Mar 2025
Unified Human Localization and Trajectory Prediction with Monocular Vision
IEEE International Conference on Robotics and Automation (ICRA), 2025
Po-Chien Luan
Yang Gao
Celine Demonsant
Alexandre Alahi
241
2
0
05 Mar 2025
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Adaptive 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 Planning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Xiaolei Chen
Junchi Yan
Wenlong Liao
Tao He
Pai Peng
233
5
0
22 Jan 2025
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Conference 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 functions
American 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 Environments
IEEE 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
192
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 Mixture
Computer Vision and Pattern Recognition (CVPR), 2024
Juanwu Lu
Can Cui
Yunsheng Ma
Aniket Bera
Ziran Wang
129
8
0
04 Apr 2024
Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions
IEEE International Conference on Robotics and Automation (ICRA), 2024
Jasper Geldenbott
Karen Leung
207
8
0
04 Apr 2024
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds
IEEE 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 Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ravi Pandya
Zhuoyuan Wang
Yorie Nakahira
Changliu Liu
205
9
0
20 Nov 2023
Interaction-Aware Sampling-Based MPC with Learned Local Goal Predictions
International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023
Walter Jansma
Elia Trevisan
Álvaro Serra-Gómez
Javier Alonso-Mora
718
5
0
26 Sep 2023
Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Jiaqi Liu
Donghao Zhou
Peng Hang
Ying Ni
Jian Sun
196
31
0
18 Sep 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Conference 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 Tasks
IEEE 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 Interaction
IEEE 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 Interactions
IEEE 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 Interaction
IEEE/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 Models
IEEE International Conference on Robotics and Automation (ICRA), 2023
Yuxiao Chen
Peter Karkus
Boris Ivanovic
Xinshuo Weng
Marco Pavone
169
34
0
27 Jan 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
IEEE International Conference on Robotics and Automation (ICRA), 2022
Sushant Veer
Karen Leung
Ryan K. Cosner
Yuxiao Chen
Peter Karkus
Marco Pavone
219
19
0
06 Dec 2022
Learning to Play Trajectory Games Against Opponents with Unknown Objectives
IEEE Robotics and Automation Letters (RA-L), 2022
Xinjie Liu
Lasse Peters
Javier Alonso-Mora
237
35
0
24 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Conference on Robot Learning (CoRL), 2022
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
238
32
0
16 Nov 2022
Learning Autonomous Vehicle Safety Concepts from Demonstrations
American Control Conference (ACC), 2022
Karen Leung
Sushant Veer
Edward Schmerling
Marco Pavone
101
11
0
06 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning
Conference on Robot Learning (CoRL), 2022
Haruki Nishimura
Jean Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
198
19
0
04 Oct 2022
It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
IEEE International Conference on Robotics and Automation (ICRA), 2022
Eley Ng
Ziang Liu
Monroe Kennedy
135
21
0
26 Sep 2022
Robust Forecasting for Robotic Control: A Game-Theoretic Approach
IEEE International Conference on Robotics and Automation (ICRA), 2022
Shubhankar Agarwal
David Fridovich-Keil
Sandeep Chinchali
AI4TS
193
4
0
22 Sep 2022
Multi-robot Mission Planning in Dynamic Semantic Environments
IEEE International Conference on Robotics and Automation (ICRA), 2022
Samarth Kalluraya
George J. Pappas
Y. Kantaros
239
30
0
13 Sep 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Conference 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 ODEs
Neural 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 Models
International 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 Prediction
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Chen Tang
Wei Zhan
Masayoshi Tomizuka
202
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
163
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
101
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
275
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
27
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
176
20
0
09 Jul 2021
1
2
3
Next