M
Masayoshi Tomizuka
Researcher at University of California, Berkeley
Publications - 1178
Citations - 35429
Masayoshi Tomizuka is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Control theory & Control system. The author has an hindex of 80, co-authored 1111 publications receiving 30069 citations. Previous affiliations of Masayoshi Tomizuka include University of California & Western Digital.
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Journal ArticleDOI
Real-Time Finger Gaits Planning for Dexterous Manipulation
TL;DR: In this paper, a velocity-level finger gaits planner is introduced by combining object grasp quality with hand kinematic limitations, and a manipulation controller using force optimization is presented to deal with mass uncertainties and external disturbances, a modified impedance control is integrated into the manipulation controller.
Proceedings ArticleDOI
6-DoF Contrastive Grasp Proposal Network
TL;DR: Zhang et al. as discussed by the authors proposed a 6-DoF contrastive grasp proposal network (CGPN) to infer 6-DOF grasps from a single-view depth image.
Journal ArticleDOI
A convex relaxation for the time‐optimal trajectory planning of robotic manipulators along predetermined geometric paths
TL;DR: A convex relaxation is proposed to generate time-optimal trajectories and feedforward controls for robotic manipulators along predetermined geometric paths that are dynamically feasible with respect to the complete nonlinear dynamic model, considering both Coulomb friction and viscous friction.
Proceedings ArticleDOI
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles
TL;DR: Li et al. as discussed by the authors proposed a novel form of the loss function to increase the performance of LiDAR-based 3D object detection and obtain more explainable and convincing uncertainty for the prediction.
Proceedings ArticleDOI
On the time-optimal trajectory planning and control of robotic manipulators along predefined paths
TL;DR: An algorithm that generates dynamically feasible time-optimal trajectories and controls is presented, which considers the complete dynamic model with both Coulomb and viscous friction.