Media Summary: Jingtao Tang, Zining Mao, and Hang Ma, "Large-Scale Multirobot Jingtao Tang, Hang Ma, "Mixed Integer Programming for Time-Optimal Multi-Robot This short video illustrates the concept of

Coverage Path Planning For Spraying - Detailed Analysis & Overview

Jingtao Tang, Zining Mao, and Hang Ma, "Large-Scale Multirobot Jingtao Tang, Hang Ma, "Mixed Integer Programming for Time-Optimal Multi-Robot This short video illustrates the concept of Winter 2021 Research Seminar: Internet of Robotic Things The ubiquity in aerial robotic platforms for field applications have ... ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles Presented at iSpaRo 2024: This paper presents the

Video from the published paper "Optimizing and Predicting Swarming Collective Motion Performance for One of the experiments performed for my PhD research. View the publication at ...

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Coverage path planning for spraying drones.
Coverage Path Planner for 3D Reconstruction with UAVs
T-RO 2025: Large-Scale Multirobot Coverage Path Planning on Grids With Path Deconfliction
RA-L 2023: MIP for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics
Coverage Path Planning (Boustrophedon A*)
Coverage Path Planning
Multi-agent Coverage Path Planning: Wildlife Monitoring and Beyond (Kunal Shah, Stanford University)
Coverage Path Planning
ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles
Risk-Aware Coverage Path Planning for Micro-Rovers Leveraging Global and Local Environmental Data
Comparison of our Simulation Predictions with Coverage Path Planning Predictions
Coverage path planning simulation
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Coverage path planning for spraying drones.

Coverage path planning for spraying drones.

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Coverage Path Planner for 3D Reconstruction with UAVs

Coverage Path Planner for 3D Reconstruction with UAVs

Coverage Path Planner

T-RO 2025: Large-Scale Multirobot Coverage Path Planning on Grids With Path Deconfliction

T-RO 2025: Large-Scale Multirobot Coverage Path Planning on Grids With Path Deconfliction

Jingtao Tang, Zining Mao, and Hang Ma, "Large-Scale Multirobot

RA-L 2023: MIP for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics

RA-L 2023: MIP for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics

Jingtao Tang, Hang Ma, "Mixed Integer Programming for Time-Optimal Multi-Robot

Coverage Path Planning (Boustrophedon A*)

Coverage Path Planning (Boustrophedon A*)

This short video illustrates the concept of

Coverage Path Planning

Coverage Path Planning

Coverage Path Planning

Multi-agent Coverage Path Planning: Wildlife Monitoring and Beyond (Kunal Shah, Stanford University)

Multi-agent Coverage Path Planning: Wildlife Monitoring and Beyond (Kunal Shah, Stanford University)

Winter 2021 Research Seminar: Internet of Robotic Things The ubiquity in aerial robotic platforms for field applications have ...

Coverage Path Planning

Coverage Path Planning

Coverage Path Planning

ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles

ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles

ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles

Risk-Aware Coverage Path Planning for Micro-Rovers Leveraging Global and Local Environmental Data

Risk-Aware Coverage Path Planning for Micro-Rovers Leveraging Global and Local Environmental Data

Presented at iSpaRo 2024: This paper presents the

Comparison of our Simulation Predictions with Coverage Path Planning Predictions

Comparison of our Simulation Predictions with Coverage Path Planning Predictions

Video from the published paper "Optimizing and Predicting Swarming Collective Motion Performance for

Coverage path planning simulation

Coverage path planning simulation

In this video, we compare the

Coverage Path Planning and K-Means Partitions on Turtlebot

Coverage Path Planning and K-Means Partitions on Turtlebot

One of the experiments performed for my PhD research. View the publication at ...