Adversarial Attacks on Optimization based Planners
@article{Vemprala2020AdversarialAO, title={Adversarial Attacks on Optimization based Planners}, author={Sai Vemprala and A. Kapoor}, journal={ArXiv}, year={2020}, volume={abs/2011.00095} }
Trajectory planning is a key piece in the algorithmic architecture of a robot. Trajectory planners typically use iterative optimization schemes for generating smooth trajectories that avoid collisions and are optimal for tracking given the robot's physical specifications. Starting from an initial estimate, the planners iteratively refine the solution so as to satisfy the desired constraints. In this paper, we show that such iterative optimization based planners can be vulnerable to adversarial… CONTINUE READING
Figures and Tables from this paper
One Citation
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
- Computer Science, Engineering
- ArXiv
- 2020
- PDF
References
SHOWING 1-10 OF 30 REFERENCES
Funnel libraries for real-time robust feedback motion planning
- Computer Science, Mathematics
- Int. J. Robotics Res.
- 2017
- 159
- PDF
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments
- Computer Science
- 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- 2019
- 30
- PDF
Safe Local Exploration for Replanning in Cluttered Unknown Environments for Microaerial Vehicles
- Computer Science, Engineering
- IEEE Robotics and Automation Letters
- 2018
- 38
- PDF
CHOMP: Gradient optimization techniques for efficient motion planning
- Computer Science
- 2009 IEEE International Conference on Robotics and Automation
- 2009
- 578
- Highly Influential
- PDF
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
- Computer Science
- 2019 IEEE 58th Conference on Decision and Control (CDC)
- 2019
- 20
- PDF
Provably safe robot navigation with obstacle uncertainty
- Computer Science, Engineering
- Robotics: Science and Systems
- 2017
- 28
- PDF
Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments
- Geography, Computer Science
- ISRR
- 2013
- 331
- PDF
FaSTrack: A modular framework for fast and guaranteed safe motion planning
- Computer Science
- 2017 IEEE 56th Annual Conference on Decision and Control (CDC)
- 2017
- 114
- PDF
STOMP: Stochastic trajectory optimization for motion planning
- Mathematics, Computer Science
- 2011 IEEE International Conference on Robotics and Automation
- 2011
- 498
- PDF