:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Moore, Samuel A., Lee, Easop, Chen, Boyuan
Format:	Preprint
Publié:	2026
Sujets:	Robotics
Accès en ligne:	https://arxiv.org/abs/2601.12169
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Sym2Real: Symbolic Dynamics with Residual Learning for Data-Efficient Adaptive Control
par: Lee, Easop, et autres
Publié: (2025)

Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
par: Jian, Pingcheng, et autres
Publié: (2024)

LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
par: Jian, Pingcheng, et autres
Publié: (2025)

False Feasibility in Variable Impedance MPC for Legged Locomotion
par: Ramesh, Vishal
Publié: (2026)

Time as a Control Dimension in Robot Learning
par: Jia, Yinsen, et autres
Publié: (2025)

RL-Augmented MPC for Non-Gaited Legged and Hybrid Locomotion
par: Patrizi, Andrea, et autres
Publié: (2026)

Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation
par: Molnar, Lukas, et autres
Publié: (2025)

ClutterGen: A Cluttered Scene Generator for Robot Learning
par: Jia, Yinsen, et autres
Publié: (2024)

Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
par: Syntakas, Spyridon, et autres
Publié: (2024)

Fast Online Adaptive Neural MPC via Meta-Learning
par: Mei, Yu, et autres
Publié: (2025)

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
par: Rickenbach, Rahel, et autres
Publié: (2025)

Adaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots
par: Elobaid, Mohamed, et autres
Publié: (2024)

Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
par: Jeon, Se Hwan, et autres
Publié: (2025)

RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning
par: Cho, Dong Heon, et autres
Publié: (2026)

Learning Agile Locomotion and Adaptive Behaviors via RL-augmented MPC
par: Chen, Yiyu, et autres
Publié: (2023)

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
par: Lee, Vint, et autres
Publié: (2023)

Smooth real-time motion planning based on a cascade dual-quaternion screw-geometry MPC
par: Teimoorzadeh, Ainoor, et autres
Publié: (2024)

Safe Learning of Locomotion Skills from MPC
par: Pua, Xun, et autres
Publié: (2024)

Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
par: Lee, I, et autres
Publié: (2024)

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
par: Deng, Boyuan, et autres
Publié: (2025)

Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining
par: Wang, Kaikai, et autres
Publié: (2025)

Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots
par: Kübel, Johannes, et autres
Publié: (2026)

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
par: Berghe, Korneel Van den, et autres
Publié: (2025)

TransMPC: Transformer-based Explicit MPC with Variable Prediction Horizon
par: Wu, Sichao, et autres
Publié: (2025)

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
par: He, Haonan, et autres
Publié: (2025)

PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
par: Hoffmann, Jasper, et autres
Publié: (2024)

Smooth Model Predictive Path Integral Control without Smoothing
par: Kim, Taekyung, et autres
Publié: (2021)

The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics
par: Xia, Boxi, et autres
Publié: (2024)

N-MPC for Deep Neural Network-Based Collision Avoidance exploiting Depth Images
par: Jacquet, Martin, et autres
Publié: (2024)

Learning to Hop for a Single-Legged Robot with Parallel Mechanism
par: Zhang, Hongbo, et autres
Publié: (2025)

Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles
par: Contreras, Jose Leopoldo, et autres
Publié: (2024)

Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
par: Hu, Yuhang, et autres
Publié: (2022)

DittoGym: Learning to Control Soft Shape-Shifting Robots
par: Huang, Suning, et autres
Publié: (2024)

Teleoperator-Aware and Safety-Critical Adaptive Nonlinear MPC for Shared Autonomy in Obstacle Avoidance of Legged Robots
par: Sambhus, Ruturaj, et autres
Publié: (2025)

Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator
par: Lee, Seokju, et autres
Publié: (2025)

WildFusion: Multimodal Implicit 3D Reconstructions in the Wild
par: Liu, Yanbaihui, et autres
Publié: (2024)

OA-MPC: Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles
par: Firoozi, Roya, et autres
Publié: (2022)

SmoothTurn: Learning to Turn Smoothly for Agile Navigation with Quadrupedal Robots
par: You, Zunzhi, et autres
Publié: (2026)

Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints
par: Liu, Huajian, et autres
Publié: (2025)

Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection
par: Qiu, Le, et autres
Publié: (2025)