Results 131 to 140 of about 3,109,027 (342)
Time-optimal trajectory planning based on improved adaptive genetic algorithm
This paper investigates a trajectory planning algorithm to reduce the manipulator’s working time.A time-optimal trajectory planning(TOTP)is conducted based on improved adaptive genetic algorithm(IAGA)and combined with cubic triangular Bezier spline(CTBS).
SUN Nong-liang 1, WANG Yan-jun 1
doaj
Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström +12 more
wiley +1 more source
Angled Nozzle Aerosol Jet Printing to Streamline Conformal Patterning of Electronics
A modular, angled aerosol jet printhead is demonstrated to streamline patterning on nonplanar surfaces, including 90° step edges and confined internal geometries. A detailed analysis of gravitational settling for a sheathed aerosol flow and deconvolution of oblique deposition and gravitational effects supports the versatility of this approach for ...
Louis O. Morgan +4 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
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 +4 more
wiley +1 more source
Safe trajectory planning for multiple AMRs in narrow passages using Iterative LQ game with CBF [PDF]
Keigo Okano, Toru Namerikawa
openalex +1 more source
Trajectory planning of manipulator for a hitting task with autonomous incremental learning
A new approach based on genetic algorithm (GA) and autonomous mental development for trajectory planning of robot manipulator is presented in this paper. The trajectory for the manipulator is optimized by the GA.
You CY(由畅宇), Han JD(韩建达)
core
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Optimization-based lane-changing trajectory planning in mixed traffic with embedded input convex neural networks [PDF]
Yuanxiang Yang +4 more
openalex +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source

