Dynamic Rope Manipulation

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 26

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RopeFormer: Cross-Trial Adaptation from Interaction History for Dynamic Rope Manipulation
Sep 20, 2026Menglin Wu, Kaixiang Yao, Shangbo Luan +2Dynamic Rope Manipulation Interaction History
University of California, Berkeley · Xi’an Jiaotong University · Southern University of Science and Technology +1
ForwardDLO: Model-Based Bimanual Shape Matching of Unconstrained Deformable Linear Objects
Sep 16, 2026Tim Missal, Berk Guler, Lucas Domingues +3Deformable Linear Objects Dynamic Rope Manipulation
Technical University of Darmstadt · Honda Research Institute Europe GmbH · School of Electrical and Computer Engineering, Universidade Estadual de Campinas (UNICAMP), Brazil +4
MeRoTune: RoPE-Safe Merging with a Tunable Dial
Sep 7, 2026Salman FarozRotary Position Embedding Soft-Token Representations
Higher-Dimensional Rotary Position Embedding
Aug 30, 2026Yixing Li, Ruobing Xie, Yudong Zhang +3Rotary Position Embedding Transformer Architectures
The Chinese University of Hong Kong · Tencent Hunyuan · Tsinghua University +1
Automated Straight-line Sewing of Stretchable Fabrics with Different Lengths
Jul 31, 2026Bingchen Jin, Akinari Kobayashi, Dipankar Bhattacharya +4Sewing Dynamic Rope Manipulation
JC STEM Lab of Robotics for Soft Materials, Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong SAR, China · Centre for Transformative Garment Production, Hong Kong Science Park, Hong Kong SAR, China · Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong SAR, China
Labeled Incidence Structures for Native Transformer Modeling of Text, Knowledge Graphs, and Hypergraphs
Jul 29, 2026Mahesh GodavartiTransformer Attention Transformer Architectures
A Carrot, Inc
Effective Parameters, Real Behavior: Renormalization for Robotics -- From Infinite Electron Mass to Sim-to-Real Gap
Jul 27, 2026Youran Sun, Jiaxuan Guo, Xingyu Ren +2Sim-To-Real Gap Renormalization Group
University of Maryland, College Park · Stanford University · The Chinese University of Hong Kong
Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
Jul 5, 2026Zichao Li, Gang Wu, Zichao Wang +5Large Language Model Agents Hindsight
Mila, McGill University · Adobe Research
RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation
Jul 1, 2026Yaofu Liu, Wanli Lan, Jinxi Li +2Block Sparse Flash Attention Video Diffusion Models
The Hong Kong University of Science and Technology, Hong Kong SAR, China · Independent Researcher, China
SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
Jun 30, 2026Or Hirschorn, Aaron Olender, Eli Alshan +3Omnidirectional Images Diffusion Transformers
1Amazon Prime Video · 2Tel-Aviv University · 3Hebrew University of Jerusalem
RRT-Rope: A deterministic shortening approach for fast near-optimal path planning in large-scale uncluttered 3D environments
Jun 30, 2026Louis Petit, Alexis Lussier DesbiensPath Planning Underground Mines
Createk Design Lab, University of Sherbrooke, Sherbrooke, J1K 2R1, Canada
Betting on Moments: Legendre Jumper Martingales for Online Exchangeability Testing
Jun 18, 2026Johan Hallberg SzabadváryConformal Test Martingales Two-Sample Testing
Department of Mathematics, Stockholm University
nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
Jun 10, 2026Boyang Li, Yulin Wu, Sizhe Xu +5Rotary Position Embedding Dynamic Rope Manipulation
New York University, New York, NY, USA · Peking University, Beijing, China · Imperial College London, London, UK +1
Renewable Lasso without Batch-Number Constraints: A Gradient-Enhanced Approach
Jun 10, 2026Junzhuo Gao, Ling Peng, Xu Guo +1Surrogate Gradient Stochastic Gradient Descent
a Department of Mathematics, City University of Hong Kong, Hong Kong, China · e CityUHK Shenzhen Research Institute, Shenzhen, China[stat.ML] · b School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China +2
Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning
Jun 6, 2026Zihao Wang, Shijie Peng, Kerui Wu +6Badminton Multi-Agent Reinforcement Learning
National Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China · School of Artificial Intelligence, Nanjing University, Nanjing, China · Beijing Academy of Artificial Intelligence, BAAI, Beijing, China
PJ-RoPE: A Fourier-Jet-Affine Position Space for Relative Attention
Jun 3, 2026Yaobo ZhangRotary Position Embedding Dynamic Rope Manipulation
School of Physics, Ningxia University Yinchuan, 750021, China
Periodic RoPE for Infinite Context LLMs
May 27, 2026Simin HuoEfficient Long-Context Inference Long-Context Reasoning
Shanghai Jiao Tong University
DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation
May 20, 2026Bo Ye, Xinyu Cui, Jian Zhao +2Autoregressive Video Generation Video Generation
School of Computer Science and Engineering, Southeast University · Key Lab. of Computer Network and Information Integration, Southeast University · Southeast University +3
Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data
May 15, 2026Gina Wigginghaus, Tim Missal, Berk Guler +2Robotic Manipulation Policies Bimanual Manipulation
Technical University of Darmstadt · Honda Research Institute Europe GmbH · German Research Center for Artificial Intelligence (DFKI) +2
Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models
May 7, 2026Shivam Kumar Panda, M Khalid JawedCosserat Rod Theory Finite Element Method
University of California, Los Angeles, 420 Westwood Plaza, Los Angeles, 90095, CA, United States of America
Imagery Dataset for Remaining Useful Life Estimation of Synthetic Fibre Ropes
May 5, 2026Anju Rani, Daniel Ortiz-Arroyo, Petar DurdevicUseful Life Prediction Dynamic Rope Manipulation
Department of Energy Aalborg University Esbjerg, Denmark 6700
Jordan-RoPE: Non-Semisimple Relative Positional Encoding via Complex Jordan Blocks
May 5, 2026Yaobo ZhangPositional Encoding Relative Position
School of Physics, Ningxia University Yinchuan, 750021, China
PointTransformerX: Portable and Efficient 3D Point Cloud Processing without Sparse Algorithms
Apr 27, 2026Laurenz Reichardt, Nikolas Ebert, Oliver WasenmüllerPoint Clouds 3D Perception
Mannheim University of Applied Sciences, Germany
Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation
Apr 23, 2026Arthur Jakobsson, Abhinav Mahajan, Karthik Pullalarevu +6Dynamic Rope Manipulation System Identification
Robotics Institute, Carnegie Mellon University · University of North Carolina at Chapel Hill
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention
Jan 21, 2026Yu Wu, Minsik Jeon, Jen-Hao Rick Chang +2Multi-View Positional Encoding
Carnegie Mellon University · Apple
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
May 27, 2025Bozhou Li, Wentao ZhangVision-Language Alignment Rotary Position Embedding
Peking University Beijing, China

Sep 20, 2026, cs.ROJ/K move · Enter open · S save

RopeFormer: Cross-Trial Adaptation from Interaction History for Dynamic Rope Manipulation

Menglin Wu, Kaixiang Yao, Shangbo Luan, Masayoshi Tomizuka+1

University of California, Berkeley · Xi’an Jiaotong University · Southern University of Science and Technology+1

Dynamic Rope Manipulation Interaction History

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Dynamic rope manipulation is highly sensitive to unknown object dynamics: the same robot motion can produce substantially different responses across ropes, while explicitly identifying the relevant physical properties is difficult. We present RopeFormer, a history-conditioned framework that uses prior task interaction as context for subsequent control. The policy retains cross-trial action-response history while keeping its weights fixed and requires no explicit online rope-parameter estimation. In matched simulation evaluations across sustained single-arm rotation, bimanual rotation, and transient whipping, retaining context improves subsequent control relative to resetting the same checkpoint, with the benefit varying across rope dynamics and observation settings. We further deploy the frozen policies on a Unitree H1-2 with previously unseen physical ropes. From T1 to T3, target-acquisition time decreases by 30.9% for Rope Swing and 33.9% for Rope Twirl, while mean Rope Whip target hits increase from 0.2 to 2.3 out of three. These results show that prior interaction can provide effective control context for dynamic deformable-object manipulation. Robot videos, code, and data are available at https://ropeformer.github.io/.

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