Results 51 to 60 of about 6,292,535 (287)

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization

IEEE Access, 2020
Graphs in real-world applications are dynamic both in terms of structures and inputs. Information discovery in such networks, which present dense and deeply connected patterns locally and sparsity globally can be time consuming and computationally costly.
Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad   +2 more
doaj   +1 more source

Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning

Algorithms, 2021
Adaptive and highly synchronized supply chains can avoid a cascading rise-and-fall inventory dynamic and mitigate ripple effects caused by operational failures.
Zhandos Kegenbekov, Ilya Jackson
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Truncated Proximal Policy Optimization

CoRR
Recently, test-time scaling Large Language Models (LLMs) have demonstrated exceptional reasoning capabilities across scientific and professional tasks by generating long chains-of-thought (CoT). As a crucial component for developing these reasoning models, reinforcement learning (RL), exemplified by Proximal Policy Optimization (PPO) and its variants ...
Tiantian Fan, Lingjun Liu, Yu Yue, Jiaze Chen, Chengyi Wang, Qiying Yu, Chi Zhang, Zhiqi Lin, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Bole Ma, Mofan Zhang, Gaohong Liu, Ru Zhang, Haotian Zhou, Cong Xie, Ruidong Zhu, Zhi Zhang, Xin Liu, Mingxuan Wang, Lin Yan, Yonghui Wu   +22 more
openaire   +3 more sources

Proximal Inventory Policy Optimization for Decentralized One-Warehouse Multi-Retailer

IEEE Access
We study data-driven inventory optimization for the warehouse in a Decentralized One-Warehouse Multi-Retailer (D-OWMR) system, where each retailer independently manages inventory under an $(s, S)$ policy, generating a non-stationary, zero-inflated ...
Byeong Kwon Lee, Beyong Hak Lee, Kun Soo Park   +2 more
doaj   +1 more source

PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation

, 2020
Proximal Policy Optimization (PPO) is a highly popular model-free reinforcement learning (RL) approach. However, we observe that in a continuous action space, PPO can prematurely shrink the exploration variance, which leads to slow progress and may make ...
Babadi, Amin, Hämäläinen, Perttu, Ma, Xiaoxiao, Amin Babadi, Xiaoxiao Ma, Perttu Hamalainen, Lehtinen, Jaakko, Jaakko Lehtinen   +7 more
core   +1 more source

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

On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization

CoRR
Accepted to NAFIPS ...
Kaaustaaub Shankar, Wilhelm Louw, Kelly Cohen   +2 more
openaire   +3 more sources

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