2 citations · 3 across the 9 of their papers we have counts for
8 papers · 1 filter
Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm
Guillem Torrente, Guilherme Jorge Maeda, Divij Grover +3
Table tennis, a dynamic, compact, and popular sport, has received significant attention as a robotics benchmark over the last decades. Most of the research has focused on the rally…
Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand
Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi +2
A problem that plagues robotic grasping is the misalignment of the object and gripper due to difficulties in precise localization, actuation, etc. Under-actuated robotic hands with…
F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers
Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda +1
It is challenging to grasp numerous objects with varying sizes and shapes with a single robot hand. To address this, we propose a new robot hand called the 'F3 hand' inspired by th…
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…
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…