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How to Harness the Dynamics of Soft Body: Timing Based Control of a Simulated Octopus Arm via Recurrent Neural Networks.

, , , and . FET, volume 7 of Procedia Computer Science, page 246-247. Elsevier, (2011)

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Simultaneous state and dynamics estimation in articulated structures., , and . IROS, page 3380-3386. IEEE, (2015)Whole-Body Human Inverse Dynamics with Distributed Micro-Accelerometers, Gyros and Force Sensing., , , , and . Sensors, 16 (5): 727 (2016)A Transition-Aware Method for the Simulation of Compliant Contact With Regularized Friction., , , , and . IEEE Robotics Autom. Lett., 5 (2): 1859-1866 (2020)Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation., , , , , , , and . CoRR, (2023)Variable compliance and geometry regulation of Soft-Bubble grippers with active pressure control., , , , and . RoboSoft, page 169-175. IEEE, (2021)How to Harness the Dynamics of Soft Body: Timing Based Control of a Simulated Octopus Arm via Recurrent Neural Networks., , , and . FET, volume 7 of Procedia Computer Science, page 246-247. Elsevier, (2011)Soft-bubble: A highly compliant dense geometry tactile sensor for robot manipulation., , , and . RoboSoft, page 597-604. IEEE, (2019)SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use., , , , , and . IROS, page 4684-4691. IEEE, (2022)Learning a Curvature Dynamic Model of an Octopus-inspired Soft Robot Arm Using Flexure Sensors., and . FET, volume 7 of Procedia Computer Science, page 294-296. Elsevier, (2011)Harnessing the dynamics of a soft body with "timing": Octopus inspired control via recurrent neural networks., , , and . ICAR, page 277-284. IEEE, (2011)