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1402.2708
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Game theoretic controller synthesis for multi-robot motion planning Part
I : Trajectory based algorithms

v1v2 (latest)

Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms

IEEE International Conference on Robotics and Automation (ICRA), 2014

12 February 2014

Michael W. Otte

Pratik Chaudhari

Emilio Frazzoli

ArXiv (abs)PDF HTML

Papers citing "Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms"

6 / 6 papers shown

Game-theoretic Occlusion-Aware Motion Planning: an Efficient
Hybrid-Information Approach

Game-theoretic Occlusion-Aware Motion Planning: an Efficient Hybrid-Information Approach

David Fridovich-Keil

337

6

0

19 Sep 2023

Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot
Trajectory Planning

Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022

201

12

0

23 Nov 2022

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

387

210

0

06 Jan 2021

MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive
Strategies for Urban Autonomous Navigation

MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation

Pratik Chaudhari

466

6

0

17 Aug 2020

Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using
Stochastic Gradient Descent

Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient DescentACM Symposium on Applied Computing (SAC), 2020

Christian Henkel

112

22

0

29 Mar 2020

Pareto optimal multi-robot motion planning

Pareto optimal multi-robot motion planningAmerican Control Conference (ACC), 2018

344

9

0

25 Feb 2018

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