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Cross-entropy based stochastic optimization of robot trajectories using heteroscedastic continuous-time Gaussian processes

  • Published:2020-11 Issue: Volume:133 Page:103618
  • ISSN:0921-8890
  • Container-title:Robotics and Autonomous Systems
  • language:en
  • Short-container-title:Robotics and Autonomous Systems

Author:

Petrović Luka,Peršić Juraj,Seder Marija,Marković Ivan

Funder

European Regional Development Fund

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference47 articles.

1. A formal basis for the heuristic determination of minimum cost paths;Hart;IEEE Trans. Syst. Sci. Cybern.,1968

2. Performance comparison of bug navigation algorithms;Ng;J. Intell. Robot. Syst.,2007

3. Robot Motion Planning, Vol. 124;Latombe,2012

4. An algorithm for planning collision-free paths among polyhedral obstacles;Lozano-Pérez;Commun. ACM,1979

5. A “retraction” method for planning the motion of a disc;Ó’Dúnlaing;J. Algorithms,1985

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1. PRIEST: Projection Guided Sampling-Based Optimization for Autonomous Navigation;IEEE Robotics and Automation Letters;2024-03

2. Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2023-12-07

3. Scalable Motion Planning and Task-Oriented Coordination Scheme for Mobile Manipulators in Smart Manufacturing;Journal of Intelligent & Robotic Systems;2023-11

4. Gaussian process regression for forward and inverse kinematics of a soft robotic arm;Engineering Applications of Artificial Intelligence;2023-11

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