Quick Overview: Teng Guo and Jingjin Yu Paper (published in RSS 2022): Teng Guo, Si Wei Feng and Jingjin Yu For enabling efficient, large-scale coordination of unmanned aerial vehicles (UAVs) under ... Jingtao Tang, Hang Ma, "Mixed Integer Programming for

Sear Polynomial Time Multi Robot - Detailed Overview & Context

Teng Guo and Jingjin Yu Paper (published in RSS 2022): Teng Guo, Si Wei Feng and Jingjin Yu For enabling efficient, large-scale coordination of unmanned aerial vehicles (UAVs) under ... Jingtao Tang, Hang Ma, "Mixed Integer Programming for An Effective Framework for Near-Optimal Multi-Robot Path Planning Justin Kottinger, Shaull Almagor, and Morteza Lahijanian, "MAPS-X: Explainable

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SEAR: Polynomial-Time Multi-Robot Routing with Expected Constant-Factor Optimality Guarantee
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions
Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time (RSS 22 submission video)
Multi-Robot Planning [Lecture, Marija Popović]
Poly-Time Near-Optimal Multi-Robot Path Planning in 3D w Application to Large-Scale UAV Coordination
Multi Robot Search Algorithm
RA-L 2023: MIP for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics
An Effective Framework for Near-Optimal Multi-Robot Path Planning
Trajectory Planning and Generation | Cubic Polynomials | Parabolic Blends | Robotics
IROS 2023: Assignment Algorithms for Multi-Robot Multi-Target Tracking
MAPS-X: Explainable Multi-Robot Motion Planning via Segmentation
How Math Finds the Perfect Robot Team: The Co-Design Breakthrough
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