Cover Image

Learning Attentive Neural Processes for Planning with Pushing Actions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jain, Atharv, Shaw, Seiji, Roy, Nicholas
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Learning POMDPs Beyond Full-Rank Actions and State Observability
by: Shaw, Seiji, et al.
Published: (2026)

Towards Practical Finite Sample Bounds for Motion Planning in TAMP
by: Shaw, Seiji, et al.
Published: (2024)

Constrained Bimanual Planning with Analytic Inverse Kinematics
by: Cohn, Thomas, et al.
Published: (2023)

Pushing the Limits of Reactive Planning: Learning to Escape Local Minima
by: Meijer, Isar, et al.
Published: (2024)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2024)

Semi-Supervised Neural Processes for Articulated Object Interactions
by: Liu, Emily, et al.
Published: (2024)

PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
by: Cheng, Jie, et al.
Published: (2024)

PushingBots: Collaborative Pushing via Neural Accelerated Combinatorial Hybrid Optimization
by: Tang, Zili, et al.
Published: (2025)

SPARC: Spatial-Aware Path Planning via Attentive Agent Communication
by: Mu, Sayang, et al.
Published: (2026)

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
by: Lee, Sangoh, et al.
Published: (2025)

Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors
by: Ahmetoglu, Alper, et al.
Published: (2022)

Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning
by: Hao, Chenjie, et al.
Published: (2025)

GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning
by: Sejersen, Jonas le Fevre, et al.
Published: (2026)

Integrating Maneuverable Planning and Adaptive Control for Robot Cart-Pushing under Disturbances
by: Zhang, Zhe, et al.
Published: (2025)

AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination
by: Liu, Wanhao, et al.
Published: (2026)

Pushing Everything Everywhere All At Once: Probabilistic Prehensile Pushing
by: Perugini, Patrizio, et al.
Published: (2025)

Force Push: Robust Single-Point Pushing with Force Feedback
by: Heins, Adam, et al.
Published: (2024)

Learning Type-Generalized Actions for Symbolic Planning
by: Tanneberg, Daniel, et al.
Published: (2023)

Self-Supervised Learning For Robust Robotic Grasping In Dynamic Environment
by: Shaw, Ankit
Published: (2024)

Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
by: Datar, Aniket, et al.
Published: (2024)

Exploring Temporal Representation in Neural Processes for Multimodal Action Prediction
by: Fedozzi, Marco Gabriele, et al.
Published: (2026)

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots
by: Zhong, Ninghan, et al.
Published: (2025)

ReloPush-BOSS: Optimization-guided Nonmonotone Rearrangement Planning for a Car-like Robot Pusher
by: Ahn, Jeeho, et al.
Published: (2026)

Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
by: Li, Yunshuang, et al.
Published: (2025)

Interactive Navigation for Legged Manipulators with Learned Arm-Pushing Controller
by: Bi, Zhihai, et al.
Published: (2025)

Partial Motion Imitation for Learning Cart Pushing with Legged Manipulators
by: Das, Mili, et al.
Published: (2026)

Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
by: Wang, Yongliang, et al.
Published: (2024)

Decision-Focused Learning to Predict Action Costs for Planning
by: Mandi, Jayanta, et al.
Published: (2024)

Pushing in the Dark: A Reactive Pushing Strategy for Mobile Robots Using Tactile Feedback
by: Ozdamar, Idil, et al.
Published: (2024)

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
by: Chen, Weizhe, et al.
Published: (2024)

Push Anything: Single- and Multi-Object Pushing From First Sight with Contact-Implicit MPC
by: Bui, Hien, et al.
Published: (2025)

OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation
by: Ding, Hao, et al.
Published: (2025)

Visual Action Planning with Multiple Heterogeneous Agents
by: Lippi, Martina, et al.
Published: (2024)

Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)

UNO Push: Unified Nonprehensile Object Pushing via Non-Parametric Estimation and Model Predictive Control
by: Wang, Gaotian, et al.
Published: (2024)

Attentiveness Map Estimation for Haptic Teleoperation of Mobile Robot Obstacle Avoidance and Approach
by: Zhong, Ninghan, et al.
Published: (2022)

Action Contextualization: Adaptive Task Planning and Action Tuning using Large Language Models
by: Gupta, Sthithpragya, et al.
Published: (2024)

Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization
by: Hu, Boce, et al.
Published: (2025)

Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
by: Wang, Yongliang, et al.
Published: (2022)

You're Pushing My Buttons: Instrumented Learning of Gentle Button Presses
by: Talwar, Raman, et al.
Published: (2026)