52 citations · 215 across the 21 of their papers we have counts for
21 papers · 1 filter
Rapid Learning of Dexterous In-Hand Pen Writing through Real-Time Jacobian Estimation
Kai Stewart, Yasunori Toshimitsu, Robert K. Katzschmann
Dexterous in-hand manipulation of a grasped object with an anthropomorphic hand is an unsolved frontier for robot dexterity. The contact-richness and highly dynamic nature of objec…
A Benchmark of Dexterity for Anthropomorphic Robotic Hands
Davide Liconti, Yuning Zhou, Yasunori Toshimitsu +2
Dexterity is a central yet ambiguously defined concept in the design and evaluation of anthropomorphic robotic hands. In practice, the term is often used inconsistently, with diffe…
A Sensorless, Inherently Compliant Anthropomorphic Musculoskeletal Hand Driven by Electrohydraulic Actuators
Misato Sonoda, Ronan Hinchet, Amirhossein Kazemipour +2
Robotic manipulation in unstructured environments requires end-effectors that combine kinematic dexterity with physical compliance. While traditional rigid hands rely on complex ex…
DIJE: Dense Image Jacobian Estimation for Robust Robotic Self-Recognition and Visual Servoing
Yasunori Toshimitsu, Kento Kawaharazuka, Akihiro Miki +2
For robots to move in the real world, they must first correctly understand the state of its own body and the tools that it holds. In this research, we propose DIJE, an algorithm to…
Stability Recognition with Active Vibration for Bracing Behaviors and Motion Extensions Using Environment in Musculoskeletal Humanoids
Kento Kawaharazuka, Manabu Nishiura, Shinsuke Nakashima +7
Although robots with flexible bodies are superior in terms of the contact and adaptability, it is difficult to control them precisely. On the other hand, human beings make use of t…
Design Optimization of Musculoskeletal Humanoids with Maximization of Redundancy to Compensate for Muscle Rupture
Kento Kawaharazuka, Yasunori Toshimitsu, Manabu Nishiura +6
Musculoskeletal humanoids have various biomimetic advantages, and the redundant muscle arrangement allowing for variable stiffness control is one of the most important. In this stu…
Adaptive Body Schema Learning System Considering Additional Muscles for Musculoskeletal Humanoids
Kento Kawaharazuka, Akihiro Miki, Yasunori Toshimitsu +2
One of the important advantages of musculoskeletal humanoids is that the muscle arrangement can be easily changed and the number of muscles can be increased according to the situat…
Self-Body Image Acquisition and Posture Generation with Redundancy using Musculoskeletal Humanoid Shoulder Complex for Object Manipulation
Yuya Koga, Kento Kawaharazuka, Yasunori Toshimitsu +6
We proposed a method for learning the actual body image of a musculoskeletal humanoid for posture generation and object manipulation using inverse kinematics with redundancy in the…
Robust Continuous Motion Strategy Against Muscle Rupture using Online Learning of Redundant Intersensory Networks for Musculoskeletal Humanoids
Kento Kawaharazuka, Manabu Nishiura, Yasunori Toshimitsu +5
Musculoskeletal humanoids have various biomimetic advantages, of which redundant muscle arrangement is one of the most important features. This feature enables variable stiffness c…
Human-mimetic binaural ear design and sound source direction estimation for task realization of musculoskeletal humanoids
Yusuke Omura, Kento Kawaharazuka, Yuya Nagamatsu +7
Human-like environment recognition by musculoskeletal humanoids is important for task realization in real complex environments and for use as dummies for test subjects. Humans inte…
Automatic Grouping of Redundant Sensors and Actuators Using Functional and Spatial Connections: Application to Muscle Grouping for Musculoskeletal Humanoids
Kento Kawaharazuka, Manabu Nishiura, Yuya Koga +6
For a robot with redundant sensors and actuators distributed throughout its body, it is difficult to construct a controller or a neural network using all of them due to computation…
Learning of Balance Controller Considering Changes in Body State for Musculoskeletal Humanoids
Kento Kawaharazuka, Yoshimoto Ribayashi, Akihiro Miki +4
The musculoskeletal humanoid is difficult to modelize due to the flexibility and redundancy of its body, whose state can change over time, and so balance control of its legs is cha…
Leveraging Pretrained Latent Representations for Few-Shot Imitation Learning on a Dexterous Robotic Hand
Davide Liconti, Yasunori Toshimitsu, Robert Katzschmann
In the context of imitation learning applied to dexterous robotic hands, the high complexity of the systems makes learning complex manipulation tasks challenging. However, the nume…
Development of Musculoskeletal Legs with Planar Interskeletal Structures to Realize Human Comparable Moving Function
Moritaka Onitsuka, Manabu Nishiura, Kento Kawaharazuka +7
Musculoskeletal humanoids have been developed by imitating humans and expected to perform natural and dynamic motions as well as humans. To achieve desired motions stably in curren…
Hardware Design and Learning-Based Software Architecture of Musculoskeletal Wheeled Robot Musashi-W for Real-World Applications
Kento Kawaharazuka, Akihiro Miki, Masahiro Bando +6
Various musculoskeletal humanoids have been developed so far. While these humanoids have the advantage of their flexible and redundant bodies that mimic the human body, they are st…
RAMIEL: A Parallel-Wire Driven Monopedal Robot for High and Continuous Jumping
Temma Suzuki, Yasunori Toshimitsu, Yuya Nagamatsu +8
Legged robots with high locomotive performance have been extensively studied, and various leg structures have been proposed. Especially, a leg structure that can achieve both conti…
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Nico Gürtler, Felix Widmaier, Cansu Sancaktar +21
Experimentation on real robots is demanding in terms of time and costs. For this reason, a large part of the reinforcement learning (RL) community uses simulators to develop and be…
Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints
Yasunori Toshimitsu, Benedek Forrai, Barnabas Gavin Cangan +4
Biomimetic, dexterous robotic hands have the potential to replicate much of the tasks that a human can do, and to achieve status as a general manipulation platform. Recent advances…
Dynamic Task Space Control Enables Soft Manipulators to Perform Real-World Tasks
Oliver Fischer, Yasunori Toshimitsu, Amirhossein Kazemipour +1
Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters…
Adaptive Dynamic Sliding Mode Control of Soft Continuum Manipulators
Amirhossein Kazemipour, Oliver Fischer, Yasunori Toshimitsu +2
Soft robots are made of compliant materials and perform tasks that are challenging for rigid robots. However, their continuum nature makes it difficult to develop model-based contr…
SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing
Yasunori Toshimitsu, Ki Wan Wong, Thomas Buchner +1
Due to their inherent compliance, soft robots are more versatile than rigid linked robots when they interact with their environment, such as object manipulation or biomimetic motio…