Results 101 to 110 of about 1,059,285 (279)

Gradient descent decomposition of force-field motor primitives optogenetically elicited for motor mapping of the murine lumbosacral spinal cord. [PDF]

Zool Res, 2023
Salmas P, Cheung VCK.
europepmc   +1 more source

Electrically Reconfigurable Optical Initialization of Spin Valley Polarization in Monolayer WS2 Enabled by Switchable Dual‐Mode Liquid Crystal Lasers

Advanced Optical Materials, EarlyView.
This work presents an electrically controllable approach to spin–valley polarization in monolayer WS2 by integrating it with a dual‐mode liquid crystal laser. Applying an external field triggers phase transitions that switch the laser emission between helicity‐defined band‐edge lasing and unpolarized random lasing.
Yu‐Chuan Tsao, Ya‐Ping Hsieh, Yang‐Fang Chen, Hui‐Yu Chen   +3 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

A Taxonomy of Functional Upper Extremity Motion

Frontiers in Neurology, 2019
Background: Functional upper extremity (UE) motion enables humans to execute activities of daily living (ADLs). There currently exists no universal language to systematically characterize this type of motion or its fundamental building blocks, called ...
Heidi M. Schambra, Heidi M. Schambra, Avinash Parnandi, Natasha G. Pandit, Jasim Uddin, Audre Wirtanen, Dawn M. Nilsen   +6 more
doaj   +1 more source

Standing up with motor primitives

, 2005
As observed in nature, complex locomotion can be generated based on an adequate combination of motor primitives. In this context, the paper focused on experiments which result in the development of a quality criterion for the design and analysis of motor
K. Berns, Iida, F, Hamburger, V, Pfeifer, R, V. Hamburger, R. Pfeifer, ,, F. Iida, Berns, K   +8 more
core  

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

On the Kinematic Motion Primitives (kMPs) - Theory and Application

Frontiers in Neurorobotics, 2012
Human neuromotor capabilities guarantee a wide variety of motions. A full understanding of human motion can be beneficial for rehabilitation or performance enhancement purposes, or for its reproduction on artificial systems like robots. This work aims at
Federico Lorenzo Moro, Nikos G. Tsagarakis, Darwin G. Caldwell   +2 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source