Leaderboards/Robotic Path Planning Algorithms

Robotic Path Planning Algorithms

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Ignacio Vizzo
University of Bonn
2
Siyu Teng
Beijing Normal-Hong Kong Baptist University
3
Yunlong Song
University of Zurich
4
Changwei Miao
Chengdu University of Technology
5
Zhepei Wang
State Key Laboratory of Industrial Control Technology
6
Iraj Naruei
Islamic Azad University Kerman
7
Amylia Ait Saadi
Université Paris-Saclay
8
Karthik Karur
Halla University
9
Philipp Foehn
University of Zurich
10
Rafał Szczepański
Nicolaus Copernicus University

Rising Stars Papers

1
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion
Mechanical Systems and Signal Processing|2024
66 cit.
2
Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines
IEEE Transactions on Intelligent Vehicles|2024
19 cit.
3
Power consumption model for Unmanned Aerial Vehicles using Recurrent Neural Network techniques
Aerospace Science and Technology|2024
13 cit.
4
Retracted: Sora for Hierarchical Parallel Motion Planner: A Safe End-to-End Method Against OOD Events
IEEE Transactions on Intelligent Vehicles|2024
4 cit.
5
Local Path Planning Algorithm Based On Artificial Potential Field With Adaptive Scaling Factor
Unknown Journal|2024
4 cit.
6
The ParallelWorkforce: A Framework for Synergistic Collaboration in Digital, Robotic, and Biological Workers of Industry 5.0
IEEE Transactions on Computational Social Systems|2024
4 cit.
7
Optimal Path Planning Algorithm with Built-In Velocity Profiling for Collaborative Robot
Sensors|2024
3 cit.
8
A Comprehensive Survey of Henry Gas Solubility Optimization Algorithm with its Theory, Variants, and Applications
Archives of Computational Methods in Engineering|2025
3 cit.
9
LEDs placement in indoor VLC system based on an improved marine predator algorithm
Journal of Optics|2025
2 cit.
10
On the importance of hyperparameters tuning for model-free reinforcement learning algorithms
Unknown Journal|2024
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Javier Alonso–Mora
Massachusetts Institute of Technology
2
Dharshan Kumaran
Google DeepMind (United Kingdom)
3
Oliver Wendt
University of Potsdam
4
Lei Zou
Guodian Institute of Science and Technology
5
Anh Vu Le
Ton Duc Thang University
6
Xiujun Sun
Qingdao National Laboratory for Marine Science and Technology
7
Yuanyuan Wu
Chengdu University of Technology
8
Peipei Zhou
Jiangsu University
9
Ali Elbekri
Université Moulay Ismail de Meknes
10
Amanda Prorok
University of Cambridge

Emerging Leaders Papers

1
Group-Based Distributed Auction Algorithms for Multi-Robot Task Assignment
IEEE Transactions on Automation Science and Engineering|2022
144 cit.
2
Encryption-Decryption-Based State Estimation With Multirate Measurements Against Eavesdroppers: A Recursive Minimum-Variance Approach
IEEE Transactions on Automatic Control|2023
103 cit.
3
Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity
IEEE/CAA Journal of Automatica Sinica|2023
92 cit.
4
The multiple traveling salesman problem in presence of drone- and robot-supported packet stations
European Journal of Operational Research|2022
89 cit.
5
Decentralized probabilistic multi-robot collision avoidance using buffered uncertainty-aware Voronoi cells
Autonomous Robots|2022
59 cit.
6
Moving horizon estimation over relay channels: Dealing with packet losses
Automatica|2023
59 cit.
7
Distributed Nonlinear Trajectory Optimization for Multi-Robot Motion Planning
IEEE Transactions on Control Systems Technology|2022
53 cit.
8
Recursive Fault Estimation With Energy Harvesting Sensors and Uniform Quantization Effects
IEEE/CAA Journal of Automatica Sinica|2022
50 cit.
9
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
2022 International Conference on Robotics and Automation (ICRA)|2022
45 cit.
10
Maximum Correntropy Kalman Filtering for Non-Gaussian Systems With State Saturations and Stochastic Nonlinearities
IEEE/CAA Journal of Automatica Sinica|2023
41 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Sebastian Thrun
Stanford University
2
Andrew Lewis
Griffith University
3
Vijay Kumar
Graphic Era University
4
Dinesh Manocha
University of Maryland, College Park
5
Roland Siegwart
ETH Zurich
6
Jonathan P. How
American Institute of Aeronautics and Astronautics
7
Lydia E. Kavraki
Stanford University
8
Daniela Rus
Massachusetts Institute of Technology
9
Wolfram Burgard
University of Freiburg
10
Steven M. LaValle
Ubiquitous Energy (United States)

Current Senior Leaders Papers

1
Grey Wolf Optimizer
Advances in Engineering Software|2014
18.4k cit.
2
The Whale Optimization Algorithm
Advances in Engineering Software|2016
14k cit.
3
Dermatologist-level classification of skin cancer with deep neural networks
Nature|2017
13.8k cit.
4
Probabilistic robotics
Communications of the ACM|2002
8k cit.
5
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
IEEE Transactions on Robotics and Automation|1996
6.3k cit.
6
The dynamic window approach to collision avoidance
IEEE Robotics & Automation Magazine|1997
3.6k cit.
7
Rapidly-exploring random trees : a new tool for path planning
Unknown Journal|1998
3.6k cit.
8
RRT-connect: An efficient approach to single-query path planning
Unknown Journal|2002
3.4k cit.
9
BRISK: Binary Robust invariant scalable keypoints
Unknown Journal|2011
3.4k cit.
10
Randomized Kinodynamic Planning
The International Journal of Robotics Research|2001
3.2k cit.

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