Results 61 to 70 of about 8,002 (268)

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Model Predictive Current Control for Six-Phase PMSM with Steady-State Performance Improvement

open access: yesEnergies
The application of finite control set model predictive control (FCS-MPC) in six-phase permanent magnet synchronous motors (PMSMs) often faces a trade-off between computational burden and accurate voltage vector selection, as well as challenges related to
Yongcan Huang   +4 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

A Simplified Space Vector Pulse Width Modulation Strategy for NPC Six-Phase Three-Level Inverter Considering Neutral-Point Potential Balancing

open access: yesIEEE Access
A neutral-point clamped (NPC) six-phase three-level inverter has excellent applicability in high-power drives because of its high reliability and robust fault tolerance.
Qingqing Yuan   +3 more
doaj   +1 more source

A MODIFIED VIRTUAL SPACE VECTOR MODULATION TECHNIQUE FOR Z-SOURCE NPC INVERTERS [PDF]

open access: yesCarpathian Journal of Electrical Engineering, 2018
A modified virtual space vector modulation approach for the control of a Z-source neutral point clamped inverter is presented in this paper. This approach works perfectly for the traditional neutral point clamped inverter.
Francis EFFAH   +4 more
doaj  

Coordinated Derived Current Control of DFIG’s RSC and GSC Without PLL Under Unbalanced Grid Voltage Conditions

open access: yesIEEE Access, 2020
This paper proposes a coordinated derived current control strategy of doubly fed induction generator (DFIG) system under unbalanced grid voltage conditions.
Peng Cheng   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

open access: yesAdvanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza   +3 more
wiley   +1 more source

Direct Power Control Strategy of PWM Rectifier Based on Improved Virtual Flux-Linkage Observer

open access: yesJournal of Control Science and Engineering, 2017
In order to achieve the low cost and high performance control of three-phase PWM rectifier, a direct power control (DPC) strategy based on a new-style virtual flux-linkage observer is proposed.
Wenshao BU, Leilei Xu
doaj   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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