Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics
Author:
Affiliation:
1. Division of Robotics, Perception and Learning, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
Funder
Swedish Foundation for Strategic Research
Vetenskapsrådet
European Research Council
BIRD Foundation
Knut och Alice Wallenbergs Stiftelse
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8860/10214173/10113472.pdf?arnumber=10113472
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1. Particle RRT for Path Planning with Uncertainty
2. Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics
3. RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies
4. RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization
5. LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics
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