Trajectory Representation Learning

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10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
Oct 7, 2026Tianxingjian Ding, Mubarak Shah, Yu TianLatent Action Learning Robot Learning
Institute of Artificial Intelligence, University of Central Florida
Directed Temporal Representations for Offline Visual Control
Oct 6, 2026Chenyang Yuan, Haoyu Wang, Zhuo Sun +1Visual RL Trajectory Representation Learning
University of Sheffield · Shanghai Jiao Tong University · Shanghai University of Finance and Economics +1
MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
Oct 5, 2026Yiming Xu, Hao Cheng, Monika SesterTrajectory Generation Trajectory Representation Learning
Institute of Cartography and Geoinformatics Leibniz University Hannover, 30167 Hannover, Germany · Faculty of Geo-Information Science and Earth Observation University of Twente, 7522 NH Enschede, The Netherlands
Robot Learning on Discrete Surfaces: Theory and Applications
Oct 1, 2026Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2Geometric Representation Learning Robot Motion Generation
Department of Industrial Engineering, Universit`a di Trento, Trento, Italy. · DRIM, Ph.D. of national interest in Robotics and Intelligent Machines. · Mechanical Engineering Program, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. +1
Interaction-Stiffness-Guided Basis Allocation in Dynamic Movement Primitives for Efficient Skill Transfer
Oct 1, 2026Chan Xu, Silu Chen, Dehao Wang +6Robot Motion Generation Robot Imitation Learning
Zhejiang Key Laboratory of Precision Actuation and Intelligent Robotics, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China · University of Chinese Academy of Sciences, Beijing 100049, China · Department of Computing, The Hong Kong Polytechnic University, HKSAR, China
Learning Transferable Skills using Goal-Conditioned Bisimulation
Sep 30, 2026Mohammad Amin Abbasfar, Farbod Azimmohseni, Mohammad Hossein RohbanAgent Skill Learning Trajectory Representation Learning
Department of Computer Engineering Sharif University of Technology
Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models
Sep 30, 2026Qi Lyu, Jiahua Dong, Hao Shen +9Robot Skill Learning Action-Conditioned World Models
Shenyang Institute of Automation, Chinese Academy of Sciences · Mohamed bin Zayed University of Artificial Intelligence · Anhui University +3
Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction
Sep 22, 2026Yan Zhang, Pei Fu, Daiqing Wu +8GUI Agents Multi-Task Learning
Institute of Information Engineering, Chinese Academy of Sciences · MiLM Plus, Xiaomi Inc. · School of Cyber Security, University of Chinese Academy of Sciences +1
PRISM: Predictive Representation of Interaction Style and Motion for Social Robot Navigation
Sep 16, 2026Bo-Han Chen, Hiromu Taketsugu, Norimichi UkitaPedestrian Behavior Modeling Social Robot Navigation
National Chung Hsing University · Toyota Technological Institute
Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model
Sep 14, 2026Hoeun Lee, Jaeik Kim, Jusang Oh +4Robotic Control Action-Conditioned Video Generation
AIDAS Lab Seoul National University
3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints
Sep 8, 2026Ziqin Huang, Yingyue Li, Chenyangguang Zhang +6Generalization in Robotic Manipulation Trajectory Representation Learning
Tsinghua University · ETH Zürich · University of California, Berkeley
DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version
Sep 7, 2026Sean Bin Yang, Hao Miao, Zongyi Xu +5Contrastive Learning Representation Learning
Aalborg University, Denmark · The Hong Kong Polytechnic University, Hong Kong · Chongqing Univeristy of Posts and Telecommunications, China +1
REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
Sep 7, 2026Sean Bin Yang, Ying Sun, Jilin Hu +5Contrastive Learning Self-Supervised Time Series Representation Learning
Aalborg University Aalborg, Denmark · Chongqing Universtiy of Posts and Telecommunications Chongqing, China · East China Normal University Shanghai, China +1
Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents
Sep 4, 2026Tianyidan Xie, Shenyi Wang, Qiang Tang +7Long-Horizon Agent Evaluation Trajectory Representation Learning
Nanjing University · University of British Columbia · Zhejiang Sci-Tech University +2
V2TATC: Joint Voice-Trajectory Embedding and Dataset for Air Traffic Controller Situational Awareness
Aug 29, 2026Louis Brusset, Mathurin Petit, Jordan Kam +1Air Traffic Management Cross-Modal Retrieval
Mines Paris–PSL University, Paris, 75006, France · École Polytechnique, Palaiseau, 91128, France · California Institute of Technology, Pasadena, CA, 91125, USA +1
Multi-Relational Knowledge Graph Enhanced Embedding for Trajectory-User Linking
Aug 9, 2026Zhifeng Chu, Bin WangTrajectory Representation Learning
the College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, 201400, China
Transition Information Density: Morphological Trajectories, Synesthetic Perception, and Structured Interpolation in Neural Training (or: The Synesthetic AI)
Jul 3, 2026Sam MaoNeural Representation Geometry Trajectory Representation Learning
New York University | Interactive Media Arts
BIT-Nav: Brain-Inspired Trajectory Memory for Embodied Navigation
Jun 19, 2026Rithvik Jonna, Aakash Gurram, Man Namgung +2Vision-Language Models Embodied Navigation
Department of Electrical and Computer Engineering Johns Hopkins University · Laboratory for Computational Sensing and Robotics Johns Hopkins University · DEVCOM Army Research Laboratory
The Terminal Representation in Reinforcement Learning
May 29, 2026Amir Esterhuysen, Anders JonssonRepresentation Learning for RL Trajectory Representation Learning
Dept. Information and Communication Technologies Universitat Pompeu Fabra Barcelona, Spain
TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning
May 19, 2026Zhen Xiong, Shang-Ling Hsu, Cyrus ShahabiGeospatial Representation Learning Trajectory Representation Learning
University of Southern California
Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
May 14, 2026Zuyuan Zhang, Carlee Joe-Wong, Tian LanReinforcement Learning Trajectory Representation Learning
The George Washington University · Carnegie Mellon University
TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations
May 7, 2026Maria Despoina Siampou, Gengchen Mai, Ni Lao +4Geospatial Foundation Models Cross-Modal Alignment
Google Research, Mountain View, CA · Dept. of Computer Science, University of Southern California, Los Angeles, CA · SEAI Lab, Dept. of Geography and the Environment, The University of Texas at Austin, Austin, TX +1
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Oct 16, 2025Ji Cao, Yu Wang, Tongya Zheng +6Geospatial Representation Learning Trajectory Representation Learning
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China · Zhejiang Lab, Hangzhou 311121, China · Zhejiang Provincial Engineering Research Center for Real-Time SmartTech in Urban Security Governance, Hangzhou City University, Hangzhou 310015, China +2
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
Jun 17, 2025Lihuan Li, Hao Xue, Shuang Ao +2Intelligent Transportation Systems Hierarchical Representation Learning
University of New South Wales Sydney, Australia · Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China

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TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment

Tianxingjian Ding, Mubarak Shah, Yu Tian

Institute of Artificial Intelligence, University of Central Florida

Latent Action Learning Robot Learning Trajectory Representation Learning

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Latent actions supervise robot policies with action-like codes inferred from visual transitions, and their usefulness hinges on two questions: what a code keeps from a transition, and whether it still means the same thing when reused in a different initial state. The first is a tension in time: an endpoint difference discards how motion unfolds, while the full sequence admits nuisance variation. The second is left open by reconstruction, which only ever observes a latent together with the state it came from. We argue that both questions can be answered in the same place. TERRA (Temporal Effect Representation and Relational Alignment) describes a transition by a compact temporal effect, its net feature change together with a low-order within-window dynamics component, and learns a continuous latent from this effect. The same effect space then serves as the reference for reuse: Effect-Anchored Transport (EAT) decodes a latent in other initial states and anchors the resulting effect to the one observed at its source, so that the latent is shaped by what it does across contexts rather than only by the transition it came from. With frozen linear readers, TERRA predicts actions more accurately than UniVLA and a LAPA-style baseline, degrades more slowly under visual distractors, and keeps transported transitions faithful to the donor action as the recipient context moves farther away; a same-budget control shows that these gains come largely from EAT. At matched pretraining scale, the complete system reaches 93.4% average success on LIBERO, compared with 91.8% for UniVLA.

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