1 citations · 1 across the 3 of their papers we have counts for
6 papers
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping
Guilherme Maeda, Naoki Fukaya, Shin-ichi Maeda
Teleoperation is often limited by the ability of an operator to react and predict the behavior of the robot as it interacts with the environment. For example, to grasp small object…
Blending Primitive Policies in Shared Control for Assisted Teleoperation
Guilherme Maeda
Movement primitives have the property to accommodate changes in the robot state while maintaining attraction to the original policy. As such, we investigate the use of primitives a…
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
Guilherme Maeda, Joni Väätäinen, Hironori Yoshida
One of the challenges of full autonomy is to have a robot capable of manipulating its current environment to achieve another environment configuration. This paper is a step towards…
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning
Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda
Off-policy ensemble reinforcement learning (RL) methods have demonstrated impressive results across a range of RL benchmark tasks. Recent works suggest that directly imitating expe…
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
Guilherme Maeda, Okan Koc, Jun Morimoto
Currently, usual approaches for fast robot control are largely reliant on solving online optimal control problems. Such methods are known to be computationally intensive and sensit…
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control
Okan Koc, Guilherme Maeda, Jan Peters
Highly dynamic tasks that require large accelerations and precise tracking usually rely on accurate models and/or high gain feedback. While kinematic optimization allows for effici…