Results 251 to 260 of about 5,155,222 (297)

Representation and Experience-Based Learning of Explainable Models for Robot Action Execution

IEEE/RJS International Conference on Intelligent RObots and Systems, 2020
For robots acting in human-centered environments, the ability to improve based on experience is essential for reliable and adaptive operation; however, particularly in the context of robot failure analysis, experience-based improvement is practically ...
Alex Mitrevski, P. Plöger, G. Lakemeyer
semanticscholar   +1 more source

Frequency-specific equivalence of brain activity on motor imagery during action observation and action execution

International Journal of Neuroscience, 2020
Background Human motor imagery (MI), action execution, and action observation (AO) are functionally considered as equivalent. MI during AO can extensively induce activation of motor-related brain network in the absence of overt movement.
Jiu Chen, W. Kan, Yong Liu, Xinhua Hu, Ting Wu, Yuan-jie Zou, Hongyi Liu, Kun Yang   +7 more
semanticscholar   +1 more source

Real-Time Execution of Action Chunking Flow Policies

arXiv.org
Modern AI systems, especially those interacting with the physical world, increasingly require real-time performance. However, the high latency of state-of-the-art generalist models, including recent vision-language action models (VLAs), poses a ...
Kevin Black, Manuel Y. Galliker, Sergey Levine   +2 more
semanticscholar   +1 more source

Simultaneous action execution and observation optimise grasping actions

Experimental Brain Research, 2013
Action observation and execution share overlapping neural resonating mechanisms. In the present study, we sought to examine the effect of the activation of this system during concurrent movement observation and execution in a prehension task, when no a priori information about the requirements of grasping action was available. Although it is known that
Ménoret, Mathilde, Curie, Aurore, Des Portes, Vincent, Nazir, Tatjana A, Paulignan, Yves   +4 more
openaire   +3 more sources

Constraining Executive Action

2023
Replication data and code for "Constraining Executive Action"
openaire   +1 more source

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Robotics
Recent vision-language-action models (VLAs) build upon pretrained vision-language models and leverage diverse robot datasets to demonstrate strong task execution, language following ability, and semantic generalization.
Moo Jin Kim, Chelsea Finn, Percy Liang
semanticscholar   +1 more source

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

International Conference on Machine Learning
Generalist robots that can perform a range of different tasks in open-world settings must be able to not only reason about the steps needed to accomplish their goals, but also process complex instructions, prompts, and even feedback during task execution.
L. Shi, Brian Ichter, Michael Equi, Liyiming Ke, Karl Pertsch, Quan Vuong, James Tanner, Anna Walling, Haohuan Wang, Niccolo Fusai, Adrian Li-Bell, Danny Driess, Lachy Groom, Sergey Levine, Chelsea Finn   +14 more
semanticscholar   +1 more source

Concurrent execution system for action languages

Proceedings of the 15th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2017
Traditional methods of managing concurrent processes are difficult and prone to errors. We propose that actions can provide a much simpler approach to the problem. In this paper, we use Temporal Logic of Actions to define an execution system that can be used to concurrently execute programs created with action languages.
Antti Jääskeläinen, Hannu-Matti Järvinen, Mikko Tiusanen   +2 more
openaire   +1 more source