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In this paper we present a reachability analysis to predict such deviations and to evaluate robot safety along reference trajectories.
Jun 2, 2023 · Abstract—Learning-based trajectory planners in robotics have attracted growing interest given their ability to plan for complex tasks.
Duration: 3:00
Posted: Sep 21, 2022
Posted: Sep 21, 2022
In this paper, an arm motion sensing system using potentiometer is developed. Most motion sensing systems use optical method for the quality of motion data. The ...
Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis. A Shetty, A Dai, A Tzikas, G Gao. 2023 IEEE ...
Akshay Shetty and Grace Gao, Trajectory Planning Under Stochastic and Bounded Sensing Uncertainties Using Reachability Analysis, Proceedings of the ...
Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis. Shetty, A.; Dai, A.; Tzikas, A.; and Gao, G. In ...
Reachability analysis is a popular verification-based tool where reachable sets for the robot are first computed along candidate trajectories and then used to ...
Missing: Learning- | Show results with:Learning-
This paper presents a new approach for a safe autonomous navigation based on reliable state space reachability analysis.
Missing: Safeguarding | Show results with:Safeguarding
May 8, 2024 · Safe learning in robotics involves using control barrier functions and Gaussian process regression to address unknown dynamics, ensuring safety ...