Results 141 to 150 of about 5,971,608 (284)

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

A manifold-based approach to sparse global constraint satisfaction problems. [PDF]

J Glob Optim, 2019
Baharev A, Neumaier A, Schichl H.
europepmc   +1 more source

Efficient and Robust Standing Postures of Quadruped Robots

Advanced Robotics Research, EarlyView.
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan, Hamza Jomaa, Jack Challita, Kawthar Zaidan, Riad Saab, Hussein Hussein   +5 more
wiley   +1 more source

Limitations of quantum approximate optimization in solving generic higher-order constraint-satisfaction problems

Physical Review Research
The ability of the quantum approximate optimization algorithm (QAOA) to deliver a quantum advantage on combinatorial optimization problems is still unclear. Recently, a scaling advantage over a classical solver was postulated to exist for random 8-SAT at
Thorge Müller, Ajainderpal Singh, Frank K. Wilhelm, Tim Bode   +3 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

Datalog and Constraint Satisfaction with Infinite Templates

, 2013
International audienceOn finite structures, there is a well-known connection between the expressive power of Datalog, finite variable logics, the existential pebble game, and bounded hypertree duality.
Dalmau, Victor, Bodirsky, Manuel
core  

Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks. [PDF]

Neural Comput, 2018
Rutishauser U, Slotine JJ, Douglas RJ.
europepmc   +1 more source

From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems

ITEGAM-JETIA
Constraint Satisfaction Problems (CSP) are a fundamental mechanism in artificial intelligence, but finding a solution is an NP-complete problem, requiring the exploration of a vast number of combinations to satisfy all constraints.
Fatima AIT HATRIT, Kamal AMROUN
doaj   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems. [PDF]

Comput Intell Neurosci, 2018
Ortiz-Bayliss JC, Amaya I, Conant-Pablos SE, Terashima-Marín H.   +3 more
europepmc   +1 more source