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664 result(s) for “Process Control” Page 1 of 14
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Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control
Xiufei Li, Miao Yang, miao zhang, Yuanxin Qi, Zhuowei Li, SENBIN YU, Wang Yuantao, linpeng shen, Xiang Li
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Distributed Coverage Control for Spatial Processes Estimation with Noisy Observations
Mattia Mantovani, Federico Pratissoli, Lorenzo Sabattini
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A Cascaded Broad Learning System for Manipulator Motion Control
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu
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Fabrication Process for Twisting Artificial Muscles by Utilizing Braiding Technology and Water-Soluble Fibers
Weihang Tian, Shuichi Wakimoto, Daisuke Yamaguchi, Takefumi Kanda
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Compliant Blind Handover Control for Human-Robot Collaboration
Davide Ferrari, Andrea Pupa, Cristian Secchi
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ROBOVERINE: A human-inspired neural robotic process model of active visual search and scene grammar in naturalistic environments
Raul Grieben, Stephan Sehring, Jan Tekülve, John P. Spencer, Gregor Schöner
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Prediction of Acoustic Communication Performance for AUVs Using Gaussian Process Classification
YIFEI GAO, Harun Yetkin, Daniel Stilwell, James McMahon
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Highly Efficient Observation Process Based on FFT Filtering for Robot Swarm Collaborative Navigation in Unknown Environments
Chenxi Li, Weining Lu, Zhihao Ma, Litong Meng, Bin Liang
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A Novel Variable Step-Size Path Planning Framework with Step Consistent Markov Decision Process for Large Scale UAV Swarm
Dan Xu, Yunxiao Guo, Han Long, Chang Wang
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Dual-Process Optimization for Multi-Vehicle Route Planning and Parts Collection Sequencing
Ryota Higa, Takuro Kato, Florence Ho
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CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions
Kazuki Mizuta, Karen Leung
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Asynchronous Event-Inertial Odometry Using a Unified Gaussian Process Regression Framework
Xudong Li, Zhixiang Wang, Zihao Liu, Yizhai Zhang, Fan Zhang, Xiuming Yao, Panfeng Huang
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A Decentralized Partially Observable Markov Decision Process for Dynamic Obstacle Avoidance and Complete Area Coverage Using Multiple Reconfigurable Robots
Javier Jia Jie Pey, Bhagya Prasangi Samarakoon Samarakoon Mudiyanselage, Viraj Jagathpriya Muthugala Muthugala Arachchige, Mohan Rajesh Elara
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter
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GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy
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Traversability-Aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain
Se-Wook Yoo, E-In Son, Seung-Woo Seo
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BEV Image-Based Lane Tracking Control System for Autonomous Lane Repainting Robot
Junghyun Seo, Hyeonjae Jeon, Joonyoung Choi, Woo Kwangho, Yongseob Lim, yongsik Jin
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The Design of a Layered Brain-Computer Interface System with Target Identification Module to Control Home Service Robot
Wenzhi Wang, Yuqing, Troy Mao, Feng Duan
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User-Customizable Shared Control for Robot Teleoperation Via Virtual Reality
Rui Luo, Mark Zolotas, Drake Moore, Taskin Padir
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Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control
Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet
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Adaptive Stochastic Nonlinear Model Predictive Control with Look-Ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki, Chenyang Wang, Johannes Betz
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The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control
Alberto Dionigi, Gabriele Costante, Giuseppe Loianno
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Generalized Path Impedance Control
Ignacio Montesino, Juan G. Victores, Carlos Balaguer, Alberto Jardon
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Automating Trophectoderm Cells Aspiration and Separation in Embryo Biopsy at the Blastocyst Stage: A Vision-Based Control Approach
Ihab Abu Ajamieh, Mohammad Al Saaideh, Mohammad Al Janaideh, James K. Mills
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Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder
Anass BAIROUK, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin Hasani, Patrick Chareyre, Daniela Rus
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Data-Driven System Identification of Quadrotors Subject to Motor Delays
Jonas Eschmann, Dario Albani, Giuseppe Loianno
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Inverse Submodular Maximization with Application to Human-In-The-Loop Multi-Robot Multi-Objective Coverage Control
Guangyao Shi, Gaurav Sukhatme
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Learning a Tracking Controller for Rolling μbots
Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta
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Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation
Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li
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Evaluation of the Design of a Tool for the Automated Assembly of Preconfigured Wires
Stefanie Bartelt, Bernd Kuhlenkötter
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TivNe-SLAM: Dynamic Mapping and Tracking Via Time-Varying Neural Radiance Fields
Chengyao Duan, Zhiliu Yang
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Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning
Gengyu Zhang, Yan Yan
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NeuralFloors++: Consistent Street-Level Scene Generation from BEV Semantic Maps
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
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Multi-Spectral Visual Servoing
Enrico Fiasche, Ezio Malis, Philippe Martinet
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Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
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Planning for Long-Term Monitoring Missions in Time-Varying Environments
Alex Stephens, Bruno Lacerda, Nick Hawes
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NLNS-MASPF for Solving Multi-Agent Scheduling and Path-Finding
Heemang Park, Kyuree AHN, Jinkyoo Park
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Calibration-Free Vision-Assisted Container Loading of RTG Cranes
Jianbing Yang, Yuanzhe Wang, Hao Jiang, Bin Zhao, Yiming Li, Danwei Wang
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FDNet: Feature Decoupling Framework for Trajectory Prediction
Yuhang Li, Changsheng Li, Baoyu Fan, Rongqing Li, Ziyue Zhang, Dongchun Ren, Ye Yuan, Guoren Wang
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Automatic Design of Robot Swarms That Perform Composite Missions: An Approach Based on Inverse Reinforcement Learning
Jeanne Szpirer, David Garzón Ramos, Mauro Birattari
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Data-Driven Modeling of Ground Effect for UAV Landing on a Vertical Oscillating Platform
Binglin He, Heng Zhang, Baisheng Lai, Song LIU, Yang Wang
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Real-Time Robotic Flexible Needle Insertion in Deformable Living Organs Using Isolated Objective Constraint
Thuc Long Ha, Julien Bert, Hadrien Courtecuisse
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NRDF - Neural Region Descriptor Fields As Implicit ROI Representation for Robotic 3D Surface Processing
Anish Pratheepkumar, Markus Ikeda, Michael Hofmann, Fabian Widmoser, Andreas Pichler, Markus Vincze
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ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
Gokul Puthumanaillam, Manav Ketan Vora, Melkior Ornik
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PICaSo: A Collaborative Robotics System for Inpainting on Physical Canvas Using Marker and Eraser
Shady Nasrat, Jae-Bong Yi, Minseong Jo, Seung-Joon Yi
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Embodied Uncertainty-Aware Object Segmentation
Xiaolin Fang, Leslie Kaelbling, Tomas Lozano-Perez
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Multi-Robot Path Planning with Boolean Specification Tasks under Motion Uncertainties
Zhe Zhang, Zhou He, Ning Ran, Michel Reniers
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Robot Synesthesia: A Sound and Emotion Guided Robot Painter
Vihaan Misra, Peter Schaldenbrand, Jean Oh
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