Cover Image

Rapidly Learning Soft Robot Control via Implicit Time-Stepping

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Andrew, Tong, Dezhong
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
by: Kim, Suzie
Published: (2025)

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
by: Barnes, Noah, et al.
Published: (2025)

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback
by: Kim, Suzie, et al.
Published: (2025)

Topology-Driven Anti-Entanglement Control for Soft Robots
by: Le, Haoyang, et al.
Published: (2026)

Learning Soft Robotic Dynamics with Active Exploration
by: Zheng, Hehui, et al.
Published: (2025)

Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
by: Yang, Zemin, et al.
Published: (2026)

TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour
by: Zhu, Shaoting, et al.
Published: (2026)

From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation
by: Dong, Ju, et al.
Published: (2026)

Social Learning Strategies for Evolved Virtual Soft Robots
by: de Bruin, K. Ege, et al.
Published: (2026)

DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
by: He, Linjin, et al.
Published: (2025)

Natural Selection via Foundation Models for Soft Robot Evolution
by: Chen, Changhe, et al.
Published: (2025)

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking
by: Choi, Andrew, et al.
Published: (2026)

Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
by: Valadas, Ricardo, et al.
Published: (2024)

A Soft e-Textile Sensor for Enhanced Deep Learning-based Shape Sensing of Soft Continuum Robots
by: Galeta, Eric Vincent, et al.
Published: (2024)

FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
by: Shi, Xirui, et al.
Published: (2026)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
by: Li, Lanpei, et al.
Published: (2024)

Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning
by: Montero, Mariano Ramírez, et al.
Published: (2024)

Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
by: Wang, Jianqiang, et al.
Published: (2026)

Design Optimizer for Planar Soft-Growing Robot Manipulators
by: Stroppa, Fabio
Published: (2023)

Development of a PPO-Reinforcement Learned Walking Tripedal Soft-Legged Robot using SOFA
by: Mokhtar, Yomna, et al.
Published: (2025)

LA-RCS: LLM-Agent-Based Robot Control System
by: Park, TaekHyun, et al.
Published: (2025)

Implicit Action Chunking for Smooth Continuous Control
by: Liang, Bosun, et al.
Published: (2026)

Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft Wrist
by: Kamijo, Tatsuya, et al.
Published: (2026)

Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation
by: Chen, Zidong, et al.
Published: (2025)

CARoL: Context-aware Adaptation for Robot Learning
by: Hu, Zechen, et al.
Published: (2025)

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
by: Zhang, Zunzhe, et al.
Published: (2026)

Flow Policy Gradients for Robot Control
by: Yi, Brent, et al.
Published: (2026)

Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions
by: Sebastian, Abhishek
Published: (2025)

Creation of Novel Soft Robot Designs using Generative AI
by: Chan, Wee Kiat, et al.
Published: (2024)

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)

Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
by: Wang, Linji, et al.
Published: (2025)

HybridFlow: A Two-Step Generative Policy for Robotic Manipulation
by: Dong, Zhenchen, et al.
Published: (2026)

Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot Interactions
by: Donato, Enrico, et al.
Published: (2024)

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
by: Kim, Bosung, et al.
Published: (2026)

Evaluating VLMs' Spatial Reasoning Over Robot Motion: A Step Towards Robot Planning with Motion Preferences
by: Wu, Wenxi, et al.
Published: (2026)

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis
by: Chi, Xiaowei, et al.
Published: (2025)

Mind to Hand: Purposeful Robotic Control via Embodied Reasoning
by: Tang, Peijun, et al.
Published: (2025)

DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
by: Zou, Guowei, et al.
Published: (2025)

Score the Steps, Not Just the Goal: VLM-Based Subgoal Evaluation for Robotic Manipulation
by: ElMallah, Ramy, et al.
Published: (2025)

Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
by: Shianifar, Jonaid, et al.
Published: (2024)