Cover Image

Working Backwards: Learning to Place by Picking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Limoyo, Oliver, Konar, Abhisek, Ablett, Trevor, Kelly, Jonathan, Hogan, Francois R., Dudek, Gregory
Format:	Preprint
Published:	2023
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
by: Ablett, Trevor, et al.
Published: (2023)

Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples
by: Ablett, Trevor, et al.
Published: (2024)

PhotoBot: Reference-Guided Interactive Photography via Natural Language
by: Limoyo, Oliver, et al.
Published: (2024)

SAGE: Smart home Agent with Grounded Execution
by: Rivkin, Dmitriy, et al.
Published: (2023)

Your Learned Constraint is Secretly a Backward Reachable Tube
by: Qadri, Mohamad, et al.
Published: (2025)

Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)

Generalizable Imitation Learning Through Pre-Trained Representations
by: Chang, Wei-Di, et al.
Published: (2023)

Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks
by: Geiger, Noah, et al.
Published: (2025)

PlaceNav: Topological Navigation through Place Recognition
by: Suomela, Lauri, et al.
Published: (2023)

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
by: Azad, Seyed Mahdi B., et al.
Published: (2026)

Learning Dynamic Pick-and-Place for a Legged Manipulator
by: Jung, Moonkyu, et al.
Published: (2026)

Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
by: Smit, Igor G., et al.
Published: (2024)

Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
by: Tagliabue, Andrea, et al.
Published: (2023)

Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
by: Walter, Tim, et al.
Published: (2025)

Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
by: Hinckeldey, Leonard, et al.
Published: (2025)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)

Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
by: Wei, Ran, et al.
Published: (2023)

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory
by: Lei, Yuheng, et al.
Published: (2026)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
by: Stoler, Benjamin, et al.
Published: (2024)

Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper
by: Cutler, Elizabeth, et al.
Published: (2024)

A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
by: Lotfi, Faraz, et al.
Published: (2024)

Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
by: Spieler, Jonathan, et al.
Published: (2026)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)

Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
by: Muttaqien, Muhammad A., et al.
Published: (2025)

Flattening Hierarchies with Policy Bootstrapping
by: Zhou, John L., et al.
Published: (2025)

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
by: Niu, Yaru, et al.
Published: (2025)

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
by: Paudel, Abhishek, et al.
Published: (2026)

Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
by: Spieler, Jonathan, et al.
Published: (2026)

Learning with Language-Guided State Abstractions
by: Peng, Andi, et al.
Published: (2024)

General agents contain world models
by: Richens, Jonathan, et al.
Published: (2025)

A Generalized Acquisition Function for Preference-based Reward Learning
by: Ellis, Evan, et al.
Published: (2024)

Hierarchical end-to-end autonomous navigation through few-shot waypoint detection
by: Ghafourian, Amin, et al.
Published: (2024)

DexterityGen: Foundation Controller for Unprecedented Dexterity
by: Yin, Zhao-Heng, et al.
Published: (2025)

Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning
by: Vilella-Cantos, Judith, et al.
Published: (2026)

Interleaved Multitask Learning with Energy Modulated Learning Progress
by: Say, Hanne, et al.
Published: (2025)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
by: Orsula, Andrej
Published: (2024)

Learning global control of underactuated systems with Model-Based Reinforcement Learning
by: Turcato, Niccolò, et al.
Published: (2025)