Results 181 to 190 of about 190,756 (265)

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

Graph neural network surrogates to leverage mechanistic expert knowledge towards reliable and immediate pandemic response. [PDF]

Sci Rep
Schmidt A, Zunker H, Heinlein A, Kühn MJ.   +3 more
europepmc   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Explainable AI-driven graph-based neural networks for mucopolysaccharidoses diagnosis. [PDF]

BioData Min
Fadul R, Tumzghi N, Seghier M, Al-Jasmi F, AlShehhi A.   +4 more
europepmc   +1 more source

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

Both ends of artificial intelligence impacting privacy: a review of violation and protection. [PDF]

Front Artif Intell
Voloch N, Hirschprung RS.
europepmc   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

GRAYU: graph-based database integrating Ayurvedic formulations, medicinal plants, phytochemicals and diseases. [PDF]

Front Pharmacol
Joshi S, Pathak A, Regati DR, Menon R, Ajith DS, Sheshadri A, Viswanathan N, Ray P, Koul V, Panda P, Bhambore SA, Verma S, Sinha A, Shafi KM, Pavalam M, Sowdhamini R.   +15 more
europepmc   +1 more source

Grip and Grasp: Lizard Claw Inspired Robotic Manipulators

Advanced Robotics Research, EarlyView.
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee, Kate Douglas, Asyiah Bray, Andrea Rummel, Parvez Alam   +4 more
wiley   +1 more source

Neural architecture search using network embedding and generative adversarial networks. [PDF]

Sci Rep
Yousefi M, Mehrdad V, Dowlatshahi MB.
europepmc   +1 more source