Andrew Bylard

According to our database1, Andrew Bylard authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Hardware-Accelerated Ray Tracing for Discrete and Continuous Collision Detection on GPUs.
CoRR, 2024

Grasp Failure Constraints for Fast and Reliable Pick-and-Place Using Multi-Suction-Cup Grippers.
CoRR, 2024

On the Performance of Jerk-Constrained Time-Optimal Trajectory Planning for Industrial Manipulators.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.
IEEE Trans. Robotics, 2022

ReachBot: A Small Robot with Exceptional Reach for Rough Terrain.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
ReachBot: A Small Robot for Large Mobile Manipulation Tasks.
CoRR, 2021

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Underactuated Gecko Adhesive Gripper for Simple and Versatile Grasp.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
Proceedings of the Robotics: Science and Systems XV, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.
Proceedings of the International Conference on Robotics and Automation, 2019

2017
Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers.
Proceedings of the Field and Service Robotics, 2017

2016
Free-flyer acquisition of spinning objects with gecko-inspired adhesives.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016


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