Zhongqiang Ren

CoRR, 2024

Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy.

[BibT_eX]

[DOI]

CoRR, 2024

Propagative Distance Optimization for Constrained Inverse Kinematics.

[BibT_eX]

[DOI]

CoRR, 2024

iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning.

[BibT_eX]

[DOI]

Yifan Guo

Chen Wang

CoRR, 2024

A Mixed-Integer Conic Program for the Moving-Target Traveling Salesman Problem based on a Graph of Convex Sets.

[BibT_eX]

[DOI]

CoRR, 2024

A Short Summary of Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration (Extended Abstract).

[BibT_eX]

[DOI]

Yuanhang Zhang

Hesheng Wang

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Heuristic Search for the Orienteering Problem with Time-Varying Reward.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

2023

ERCA*: A New Approach for the Resource Constrained Shortest Path Problem.

[BibT_eX]

[DOI]

Zachary B. Rubinstein

Stephen F. Smith

IEEE Trans. Intell. Transp. Syst., December, 2023

A Pareto-Optimal Local Optimization Framework for Multiobjective Ergodic Search.

[BibT_eX]

[DOI]

Akshaya Kesarimangalam Srinivasan

Bhaskar Vundurthy

Ian Abraham

IEEE Trans. Robotics, October, 2023

CBSS: A New Approach for Multiagent Combinatorial Path Finding.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, August, 2023

Representation granularity enables time-efficient autonomous exploration in large, complex worlds.

[BibT_eX]

[DOI]

Sci. Robotics, July, 2023

MUI-TARE: Cooperative Multi-Agent Exploration With Unknown Initial Position.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., July, 2023

A Conflict-Based Search Framework for Multiobjective Multiagent Path Finding.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., April, 2023

DMS*: Minimizing Makespan for Multi-Agent Combinatorial Path Finding.

[BibT_eX]

[DOI]

CoRR, 2023

C*: A New Bounding Approach for the Moving-Target Traveling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration.

[BibT_eX]

[DOI]

Yuanhang Zhang

Hesheng Wang

CoRR, 2023

Heuristic Search for Path Finding with Refuelling.

[BibT_eX]

[DOI]

CoRR, 2023

Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding [Extended Abstract].

[BibT_eX]

[DOI]

Akshaya Kesarimangalam Srinivasan

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Multi-Agent Multi-Objective Ergodic Search Using Branch and Bound.

[BibT_eX]

[DOI]

IROS, 2023

Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding.

[BibT_eX]

[DOI]

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

PyPose: A Library for Robot Learning with Physics-based Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Binary Branching Multi-Objective Conflict-Based Search for Multi-Agent Path Finding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022

Multi-Objective Safe-Interval Path Planning With Dynamic Obstacles.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Multi-Objective Path-Based D* Lite.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Enhanced Multi-Objective A* with Partial Expansion.

[BibT_eX]

[DOI]

CoRR, 2022

PyPose: A Library for Robot Learning with Physics-based Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position.

[BibT_eX]

[DOI]

CoRR, 2022

Enhanced Multi-Objective A* Using Balanced Binary Search Trees.

[BibT_eX]

[DOI]

CoRR, 2022

A Lower Bounding Framework for Motion Planning Amid Dynamic Obstacles in 2D.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

Enhanced Multi-Objective A* Using Balanced Binary Search Trees.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

A Local Optimization Framework for Multi-Objective Ergodic Search.

[BibT_eX]

[DOI]

Akshaya Kesarimangalam Srinivasan

Howard Coffin

Ian Abraham

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Subdimensional Expansion for Multi-Objective Multi-Agent Path Finding.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2021

Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-objective Conflict-based Search Using Safe-interval Path Planning.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Objective Path-Based D* Lite.

[BibT_eX]

[DOI]

CoRR, 2021

Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

MS*: A New Exact Algorithm for Multi-agent Simultaneous Multi-goal Sequencing and Path Finding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-objective Conflict-based Search for Multi-agent Path Finding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2017

Deformed state lattice planning.

[BibT_eX]

[DOI]

Chaohui Gong