Results 91 to 100 of about 10,729,620 (287)

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

Association of the Healthy Aging Index with all-cause mortality: Results from the Korean Frailty and Aging Cohort Study

Experimental Gerontology
Objective: This study investigated the association between the Healthy Aging Index (HAI) and all-cause mortality and its potential modification by sociodemographic or lifestyle factors.
Jinhee Kim, Yunhwan Lee, Eunsaem Kim, Seri Hong, Miji Kim   +4 more
doaj   +1 more source

DC-link Ripple Reduction in a DPWM-Based Two-Level VSI

Energies, 2018
This paper proposes a new method to reduce the ripple current of the DC-link capacitor in a two-level voltage source inverter (VSI), with a discontinuous pulse-width modulation (DPWM).
Anatolii Tcai, Ibrahim Mohd Alsofyani, In-Yong Seo, Kyo-Beum Lee   +3 more
doaj   +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

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

The Economic Impacts of Government Financing of the 2010 FIFA World Cup [PDF]

This paper presents estimates of the economic impacts of financing the hosting of the 2010 FIFA World Cup by the government of South Africa. Ex ante analysis using a fiscal social accounting matrix model indicates that hosting of the event impacts ...
Ramos Mabugu, Ahmed Mohamed
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Preliminary clinical changes during use of a personalized video-based mobile intervention for community-dwelling individuals with severe mental illness: An exploratory randomized crossover trial

Internet Interventions
Severe mental illness (SMI) often limits participation in traditional therapy due to motivational and cognitive deficits. We examined short-term clinical changes during use of a personalized video-based mobile app ( MARO )—providing psychoeducation ...
Yong Hyuk Cho, Anna You, Sooin Jeong, Ga Eun Kim, Sun Hwa Hong, Sang Joon Son, Bumhee Park, Joung Hwan Back, Chang Hyung Hong   +8 more
doaj   +1 more source

Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots

Advanced Robotics Research, EarlyView.
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun, Liang Zhang, Jianwen Zeng, Xuefeng Wang   +3 more
wiley   +1 more source

Federated Learning with Pareto Optimality for Resource Efficiency and Fast Model Convergence in Mobile Environments

Sensors
Federated learning (FL) is an emerging distributed learning technique through which models can be trained using the data collected by user devices in resource-constrained situations while protecting user privacy.
June-Pyo Jung, Young-Bae Ko, Sung-Hwa Lim   +2 more
doaj   +1 more source