- Learning Human|Inspired Dexterous Manipulation with the Faive ...🔍
- Learning Dexterous Manipulation🔍
- Demonstrating Learning from Humans on Open|Source Dexterous ...🔍
- Towards Human|Level Bimanual Dexterous Manipulation with ...🔍
- Learning Vision|based Dexterous Manipulation from Human Videos🔍
- Object|Centric Dexterous Manipulation from Human Motion Data🔍
- Learning Dexterous Manipulation Policies from Experience and ...🔍
- Russ Tedrake🔍
Learning Human|Inspired Dexterous Manipulation with the Faive ...
Learning Human-Inspired Dexterous Manipulation with the Faive ...
HiFaive: Learning Human-Inspired Dexterous Manipulation with the. Faive Robotic Hand. Erik Bauer1, Elvis Nava1,2,3, and Robert K. Katzschmann1,2. Abstract—From ...
Learning Dexterous Manipulation - Soft Robotics Lab
... Faive Hand and its system architecture, which uses tendon-driven rolling ... Furthermore, the proposed approach solely relies on human demonstrations ...
Demonstrating Learning from Humans on Open-Source Dexterous ...
The demo will engage with the attendees using real robot hands and will serve to demystify dexterous manipulation hardware. Abstract—Emulating ...
Learning Dexterous Manipulation - Soft Robotics Lab
... Faive Hand and its system architecture, which uses tendon-driven rolling ... human can do, and to achieve status as a general manipulation platform.
Towards Human-Level Bimanual Dexterous Manipulation with ...
How- ever, tasks of dexterous hand manipulation, even at the baby level, are challenging to solve through reinforcement learning (RL). The difficulty lies in ...
Learning Vision-based Dexterous Manipulation from Human Videos
In this work, we aim to learn a unified vision-based policy for multi-fingered robot hands to manipulate a variety of objects in diverse poses.
Object-Centric Dexterous Manipulation from Human Motion Data
We introduce a hierarchical framework that uses human hand motion data and deep reinforcement learning to train dexterous robot hands for effective object- ...
Learning Dexterous Manipulation Policies from Experience and ...
We explore learning-based approaches for feedback control of a dexterous five-finger hand performing non-prehensile manipulation.
Russ Tedrake - Dexterous Manipulation with Diffusion Policies
Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with Diffusion Policies For more ...
Survey of learning-based approaches for robotic in-hand manipulation
... manipulation with a five-finger dexterous hand for reorientation tasks. In a ... “Learning dexterous manipulation for a soft robotic hand from human ...
Learning Generalizable Dexterous Manipulation from Human Grasp ...
We perform experiments in simulation with five different object categories. We train one policy for each object category on the relocate task, which requires ...
Learning dexterous robotic grasping by watching humans in action
Dexterous robotic hands are appealing for their agility and human-like morphology, yet their high degree of freedom makes learning to manipulate challenging ...
Learning Complex Dexterous Manipulation with Deep ... - Robotics
Our work explores how a combination of. DRL and demonstration can enable dexterous manipulation with high-dimensional human-like five-finger hands [27], [55],.
Learning dexterous manipulation for a soft robotic hand from human ...
... inspired by the human hand [189][190][191][192] [193] . These kinds of robots can be used for grasping, and toward controlling spacial orientation in ...
[PDF] Learning dexterous in-hand manipulation - Semantic Scholar
... Five. We also include a video of our results: https ... Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration.
H-InDex: Visual Reinforcement Learning with Hand-Informed...
The paper proposes a three-stage framework for dexterous manipulation using human hand-inspired visual representation learning. ... five-finger robot hand, i.e., ...
DexMV: Imitation Learning for Dexterous Manipulation from Human ...
The x-axis is the update iterations during training and the average-return of y-axis is normalized with the same threshold for all five relocate tasks across ...
Learning dexterous in-hand manipulation - OpenAI - Sage Journals
The Shadow Dexterous Hand (ShadowRobot, 2005) is an example of a robotic hand designed for human-level dexterity; it has five fingers with a ...
Dexterous robotic hands manipulate thousands of objects with ease
... human-like manipulation. Watch Video. Rachel Gordon | MIT CSAIL ... learning, and something called a “teacher-student” training method.
Learning Dexterous Manipulation with a Robotic Hand with Alex Paino
Teaching complex robots, such as a humanoid robotic hand to solve dexterous manipulation tasks is a very difficult and long-standing problem ...