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IROS 2024

1856 papers · 0 AI summaries · 2024

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178 result(s) for “Dynamics” Page 1 of 4
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Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
John Chrosniak, Jingyun Ning, Madhur Behl
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Off-Dynamics Conditional Diffusion Planners
wen zheng terence ng, jianda chen, Tianwei Zhang
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Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations
Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe
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Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
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Understanding How a 3-dimensional ZMP Exactly Decouples the Horizontal and Vertical Dynamics of the CoM-ZMP Model
Yuki Onishi, Shuuji Kajita
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Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Data-Driven Modeling of Cable Slab Dynamics Via Neural Networks
Yazan al-rawashdeh, Mohammad Al Saaideh, Michael Joseph Pumphrey, Natheer Alatawneh, Mohammad Al Janaideh
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IMU-Based Monitoring of Buoy-Ballast System through Cable Dynamics Simulation
Charly PERAUD, Martin Filliung, Cedric Anthierens, Claire Dune, nicolas boizot, Vincent HUGEL
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Robust and Safe Task-Driven Planning and Navigation for Heterogeneous Multi-Robot Teams with Uncertain Dynamics
Tianyang Pan, Christos Verginis, Lydia Kavraki
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Robust Agility Via Learned Zero Dynamics Policies
Noel Csomay-Shanklin, William Compton, Ivan Dario Jimenez Rodriguez, Eric Ambrose, Yisong Yue, Aaron Ames
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Momentum-Aware Trajectory Optimisation Using Full-Centroidal Dynamics and Implicit Inverse Kinematics
ARISTOTELIS PAPATHEODOROU, Wolfgang Xaver Merkt, Alexander Luis Mitchell, Ioannis Havoutis
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Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
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Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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Dynamics-Based Trajectory Planning for Vibration Suppression of a Flexible Long-Reach Robotic Manipulator System
Anthony Siming Chen, Erwin Jose Lopez Pulgarin, Guido Herrmann, Alexander Lanzon, Joaquin Carrasco, Barry Lennox, Benji Carrera-Knowles, John Brotherhood, Tomoki Sakaue, Zhang Kaiqiang
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Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under Varying Signal Quality
Sven Goblirsch, Marcel Weinmann, Johannes Betz
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An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics
Marios Malliaropoulos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Clutter-Aware Spill-Free Liquid Transport Via Learned Dynamics
Ava Abderezaei, Anuj Pasricha, Alex Klausenstock, Alessandro Roncone
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Fast Direct Optimal Control for Humanoids Based on Dynamics Representation in FPC Latent Space
Soya Shimizu, Ko Ayusawa, Gentiane Venture
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Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains
Jeong Hyun Lee, Jinhyeok Choi, Simo Ryu, Hyunsik Oh, Suyoung Choi, Jemin Hwangbo
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An Efficient Linear Programming-Based Time-Optimal Feedrate Planning Considering Kinematic and Dynamics Constraints of Robots
Guanghui Liu, Qiang Li, Bohan Yang, Hualiang Zhang, Lijin Fang
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Exploring Cognitive Load Dynamics in Human-Machine Interaction for Teleoperation: A User-Centric Perspective on Remote Operation System Design
Juan José García Cárdenas, Xiaoxuan Hei, Adriana Tapus
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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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Roadmaps with Gaps Over Controllers: Achieving Efficiency in Planning under Dynamics
Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados, Noah Carver, Kostas E. Bekris
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Bayesian Floor Field: Transferring People Flow Predictions across Environments
Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki
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Opinion-Based Strategy for Distributed Multi-Robot Task Allocation in Swarms of Robots
Ziqiao Zhang, Shengkang Chen, Scott Mayberry, Fumin Zhang
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Toward Control of Wheeled Humanoid Robots with Unknown Payloads: Equilibrium Point Estimation via Real-to-Sim Adaptation
DongHoon Baek, Youngwoo Sim, Amartya Purushottam, Saurabh Gupta, Joao Ramos
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Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
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HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
An Dinh Vuong, Tien Toan Nguyen, Minh Nhat Vu, Baoru Huang, Huynh Thi Thanh Binh, Thieu Vo, Anh Nguyen
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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Decoupling-Based LPV Observer for Driver Torque Intervention Estimation in Human-Machine Shared Driving under Uncertain Vehicle Dynamics
Anh-Tu Nguyen, Thierry Marie Guerra, Chouki Sentouh, Jean-Christophe Popieul
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Efficiently Obtaining Reachset Conformance for the Formal Analysis of Robotic Contact Tasks
Chencheng Tang, Matthias Althoff
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Model-Based Policy Optimization Using Symbolic World Model
Andrey Gorodetsky, Konstantin Mironov, Aleksandr Panov
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Harnessing Natural Oscillations for High-Speed, Efficient Asymmetrical Locomotion in Quadrupedal Robots
Jing Cheng, Yasser G. Alqaham, Zhenyu Gan
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Deformable Linear Objects Manipulation with Online Model Parameters Estimation
Alessio Caporali, Piotr Kicki, Kevin Galassi, Riccardo Zanella, Krzysztof, Tadeusz Walas, Gianluca Palli
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Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP
Adrian Ghansah, Jeeseop Kim, Kejun Li, Aaron Ames
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Stick Roller: Precise In-Hand Stick Rolling with a Sample-Efficient Tactile Model
Yipai Du, Pokuang Zhou, Michael Yu Wang, Wenzhao Lian, Yu She
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Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning
Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He
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Koopman Dynamic Modeling for Global and Unified Representations of Rigid Body Systems Making and Breaking Contact
Cormac O'Neill, Harry Asada
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Sequential Convex Programming for Time-Optimal Quadrotor Waypoint Flight
Zhipeng Shen, Guanzhong Zhou, Hailong Huang
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Bridging the Sim-To-Real Gap with Bayesian Inference
Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause
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Robust Elastic Structure Preserving Control for High Impedance Rendering of Series Elastic Actuator
Hyunwook Lee, Jinoh Lee, Manuel Keppler, Sehoon Oh
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Decentralized Linear Convoying for Underactuated Surface Craft with Partial State Coupling
Raymond Turrisi, Michael Benjamin
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Learning Adaptive Controller for Hydraulic Machinery Automation
Fang Nan, Marco Hutter
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Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search
John Lathrop, Benjamin Riviere, Jedidiah Alindogan, Soon-Jo Chung
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A Contact Model Based on Denoising Diffusion to Learn Variable Impedance Control for Contact-Rich Manipulation
Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi
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Swift: Transition Characterization and Motion Analysis of a Multimodal Underwater Vehicle
Hexiong Zhou, Junjun Cao, Jian Fu, Zheng Zeng, Baoheng YAO, Zhihua Mao, Lian LIAN
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Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments
Khaled Wahba, Joaquim Ortiz-Haro, Marc Toussaint, Wolfgang Hoenig
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Improved Contact Stability for Admittance Control of Industrial Robots with Inverse Model Compensation
Kangwagye Samuel, Kevin Haninger, Sami Haddadin, Sehoon Oh
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