Cover Image

Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jawale, Neel, Boots, Byron, Sundaralingam, Balakumar, Bhardwaj, Mohak
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control
by: Yamada, Jun, et al.
Published: (2025)

Dynamics Models in the Aggressive Off-Road Driving Regime
by: Han, Tyler, et al.
Published: (2024)

PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
by: Li, Wenxuan, et al.
Published: (2025)

Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
by: Bhardwaj, Mohak, et al.
Published: (2024)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)

Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
by: Baumeister, Fabian, et al.
Published: (2024)

Dual Online Stein Variational Inference for Control and Dynamics
by: Barcelos, Lucas, et al.
Published: (2021)

cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots
by: Sundaralingam, Balakumar, et al.
Published: (2026)

Deep Model Predictive Optimization
by: Sacks, Jacob, et al.
Published: (2023)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
by: Wagenmaker, Andrew, et al.
Published: (2024)

VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
by: Huang, Binghao, et al.
Published: (2025)

Learning to Detect Slip through Tactile Estimation of the Contact Force Field and its Entropy
by: Hu, Xiaohai, et al.
Published: (2023)

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
by: Zhou, Wenxuan, et al.
Published: (2023)

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
by: Bhardwaj, Arjun, et al.
Published: (2023)

Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material
by: Wang, Guanjin, et al.
Published: (2025)

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
by: Handa, Ankur, et al.
Published: (2022)

Time-Optimized Trajectory Planning for Non-Prehensile Object Transportation in 3D
by: Chen, Lingyun, et al.
Published: (2024)

Reinforcement Learning with Ensemble Model Predictive Safety Certification
by: Gronauer, Sven, et al.
Published: (2024)

Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning
by: Wang, Haoyuan, et al.
Published: (2025)

Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
by: Kotecha, Prakrut, et al.
Published: (2026)

Inference-Time Policy Steering through Human Interactions
by: Wang, Yanwei, et al.
Published: (2024)

Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation
by: Raicevic, Nikola, et al.
Published: (2026)

Push-Placement: A Hybrid Approach Integrating Prehensile and Non-Prehensile Manipulation for Object Rearrangement
by: Sadeghinejad, Majid, et al.
Published: (2026)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)

Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
by: Calì, Marco, et al.
Published: (2025)

Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
by: Zhao, Yi, et al.
Published: (2025)

Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity
by: Wang, Yuhan, et al.
Published: (2025)

Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning
by: Dimmig, Cora A., et al.
Published: (2024)

Multi-robot Path Planning and Scheduling via Model Predictive Optimal Transport (MPC-OT)
by: Khan, Usman A., et al.
Published: (2025)

Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
by: Iten, Klemens, et al.
Published: (2026)

Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning
by: Xie, Weiji, et al.
Published: (2025)

Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
by: You, Bang, et al.
Published: (2025)

Hearing the Slide: Acoustic-Guided Constraint Learning for Fast Non-Prehensile Transport
by: Mao, Yuemin, et al.
Published: (2025)

Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
by: Jung, Sanghun, et al.
Published: (2025)

VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation
by: Castro, Mateo Guaman, et al.
Published: (2025)

Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
by: Mustafa, Abdullah, et al.
Published: (2024)

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
by: Nousiainen, Jalo, et al.
Published: (2023)

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning
by: Fan, Weisi, et al.
Published: (2024)

SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
by: Brown, Alexandre, et al.
Published: (2025)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
by: Dcruz, Julian Gerald, et al.
Published: (2024)