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1491 result(s) for “Dynamical Systems as Movement Primitives” Page 1 of 30
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Fitting Parameters of Linear Dynamical Systems to Regularize Forcing Terms in Dynamical Movement Primitives
Freek Stulp, Adrià Colomé, Carme Torras
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories
Xueyang Yao, Yinghan Chen, Bryan Patrick Tripp
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Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds
Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, Tamim Asfour
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger, Hugo Tadashi Kussaba, Lingyun Chen, Luis Figueredo, Abdalla Swikir, Aude Billard, Sami Haddadin
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Localized and Incremental Probabilistic Inference for Large-Scale Networked Dynamical Systems
Kai Matsuka, Soon-Jo Chung
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Kinematic Synergy Primitives for Human-Like Grasp Motion Generation
Julia Starke, Tamim Asfour
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Robust Surgical Tool Tracking with Pixel-Based Probabilities for Projected Geometric Primitives
Christopher D'Ambrosia, Florian Richter, Zih-Yun Chiu, Nikhil Shinde, FEI LIU, Henrik Christensen, Michael C. Yip
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TiV-ODE: A Neural ODE-Based Approach for Controllable Video Generation from Text-Image Pairs
Yucheng Xu, Nanbo LI, Arushi Goel, Zonghai Yao, Zijian Guo, Mohammadreza Kasaei, Hamidreza Kasaei, Zhibin (Alex) Li
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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A Hybrid Dynamical Model for Robotic Underwater Vehicles when Submerged or Surfaced: Approach and Preliminary Evaluation
James Hunt, Louis Whitcomb
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Model Reduction in Soft Robotics Using Locally Volume-Preserving Primitives
Yi Xu, Gregory Chirikjian
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Fit-NGP: Fitting Object Models to Neural Graphics Primitives
Marwan Taher, Ignacio Alzugaray, Andrew J Davison
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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Unsupervised Human Motion Segmentation Based on Characteristic Force Signals of Contact Events
Keito Sugawara, Sho Sakaino, Toshiaki Tsuji
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CACTO: Continuous Actor-Critic with Trajectory Optimization---Towards Global Optimality
Gianluigi Grandesso, Elisa Alboni, Gastone Pietro Rosati Papini, Patrick M. Wensing, Andrea Del Prete
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Robotic Skill Mutation in Robot-To-Robot Propagation During a Physically Collaborative Sawing Task
Rosa Enna Sophia Maessen, J. Micah Prendergast, Luka Peternel
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K-VIL: Keypoints-Based Visual Imitation Learning
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
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Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter
Dane Brouwer, Joshua Citron, Hojung Choi, Marion Lepert, Michael A. Lin, Jeannette Bohg, Mark Cutkosky
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Safe and Individualized Motion Planning for Upper-Limb Exoskeleton Robots Using Human Demonstration and Interactive Learning
Yu Chen, Gong Chen, jing ye, Xiangjun Qiu, Xiang LI
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Toward Optimal Tabletop Rearrangement with Multiple Manipulation Primitives
Baichuan Huang, XUJIA ZHANG, Jingjin Yu
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills
Ben Abbatematteo, Eric Rosen, Skye Thompson, Mete Tuluhan Akbulut, Sreehari Rammohan, George Konidaris
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Trajectory Tracking Runtime Assurance for Systems with Partially Unknown Dynamics
Michael Enqi Cao, Samuel Coogan
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Force-Based Semantic Representation and Estimation of Feature Points for Robotic Cable Manipulation with Environmental Contacts
Andrea Monguzzi, Yiannis Karayiannidis, Paolo Rocco, Andrea Maria Zanchettin
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Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
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Differentiable Compliant Contact Primitives for Estimation and Model Predictive Control
Kevin Haninger, Kangwagye Samuel, Filippo Rozzi, Sehoon Oh, Loris Roveda
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How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
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An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning from Demonstration
Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani
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Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan
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Approximate Optimal Controller Synthesis for Cart-Poles and Quadrotors Via Sums-Of-Squares
Lujie Yang, Hongkai Dai, Alexandre Amice, Russ Tedrake
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
Rafael J. Escarabajal, José Luis Pulloquinga, Pau Zamora-Ortiz, Angel Valera, Vicente Mata, Marina Valles
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Verifiable Learned Behaviors Via Motion Primitive Composition: Applications to Scooping of Granular Media
Andrew Benton, Eugen Solowjow, Prithvi Akella
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A Novel Model for Layer Jamming-based Continuum Robots
Bowen Yi, Yeman Fan, Dikai Liu
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A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization
Tyler Paine, Michael Benjamin
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ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control
Arun Bishop, John Zhang, Swaminathan Gurumurthy, Kevin Tracy, Zachary Manchester
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Adaptive Active Disturbance Rejection Control of an Actuated Ankle Foot Orthosis for Ankle Movement Assistance
Rami Jradi, Hala Rifai, Samer Mohammed
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Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
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GAN-Based Editable Movement Primitive from High-Variance Demonstrations
Xuanhui Xu, YOU MINGYU, Zhou Hongjun, Zhifeng Qian, Weisheng Xu, Bin He
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Virtual Borders in 3D: Defining a Drone�s Movement Space Using Augmented Reality
Malte Riechmann, André Kirsch, Matthias König, Jan Rexilius
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Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
Zheng Shen, Matteo Saveriano, Fares Abu-Dakka, Sami Haddadin
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Hierarchical Traffic Management of Multi-AGV Systems with Deadlock Prevention Applied to Industrial Environments
Federico Pratissoli, Riccardo Brugioni, Nicola Battilani, Lorenzo Sabattini
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Visual-Tactile Robot Grasping Based on Human Skill Learning from Demonstrations Using a Wearable Parallel Hand Exoskeleton
Zhenyu Lu, Lu Chen, Hengtai Dai, Haoran Li, Zhou Zhao, Bofang Zheng, Nathan Lepora, Chenguang Yang
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LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning
Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Constrained Hierarchical Monte Carlo Belief-State Planning
Arec Jamgochian, Hugo Buurmeijer, Kyle Wray, Anthony Corso, Mykel Kochenderfer
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Adaptive Fingers Coordination for Robust Grasp and In-Hand Manipulation under Disturbances and Unknown Dynamics
Farshad Khadivar, Aude Billard
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Multi-Confidence Guided Source-Free Domain Adaption Method for Point Cloud Primitive Segmentation
Shaohu Wang, Yuchuang Tong, Xiuqin Shang, zhengtao zhang
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Lightweight Human-Friendly Robotic Arm Based on Transparent Hydrostatic Transmissions
Marco Bolignari, Gianluca Rizzello, Luca Zaccarian, Marco Fontana
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