Cover Image

Reducing Human-Robot Goal State Divergence with Environment Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sikes, Kelsey, Keren, Sarah, Sreedharan, Sarath
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence I.2.8; I.2.9
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
by: Tanneberg, Daniel, et al.
Published: (2024)

GRIP: A Unified Framework for Grid-Based Relay and Co-Occurrence-Aware Planning in Dynamic Environments
by: Alanazi, Ahmed, et al.
Published: (2025)

Partially Observable Reference Policy Programming: Solving POMDPs Sans Numerical Optimisation
by: Kim, Edward, et al.
Published: (2025)

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS
by: Sidik, Bronislav, et al.
Published: (2026)

Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments
by: Nguyen, Ninh, et al.
Published: (2026)

The State of Robot Motion Generation
by: Bekris, Kostas E., et al.
Published: (2024)

Previous Knowledge Utilization In Online Anytime Belief Space Planning
by: Novitsky, Michael, et al.
Published: (2024)

Task and Motion Planning for Execution in the Real
by: Pan, Tianyang, et al.
Published: (2024)

AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules
by: Qin, Xue, et al.
Published: (2026)

Dynamic Buffers: Cost-Efficient Planning for Tabletop Rearrangement with Stacking
by: Barghi, Arman, et al.
Published: (2025)

Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications
by: Saccon, Enrico, et al.
Published: (2025)

Risk-aware Integrated Task and Motion Planning for Versatile Snake Robots under Localization Failures
by: Jasour, Ashkan, et al.
Published: (2025)

A Finite-State Controller Based Offline Solver for Deterministic POMDPs
by: Schutz, Alex, et al.
Published: (2025)

Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
by: Sonigra, Romil V., et al.
Published: (2026)

The Shortcomings of Force-from-Motion in Robot Learning
by: Aljalbout, Elie, et al.
Published: (2024)

Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling
by: Liang, Yuanchu, et al.
Published: (2024)

The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
by: Aljalbout, Elie, et al.
Published: (2025)

A Framework for Neurosymbolic Robot Action Planning using Large Language Models
by: Capitanelli, Alessio, et al.
Published: (2023)

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
by: Attolino, Nicholas, et al.
Published: (2025)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)

CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations
by: Karlsson, Robin, et al.
Published: (2026)

FMT$^{x}$: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
by: Nia, Soheil Espahbodini
Published: (2025)

Learning Affordances at Inference-Time for Vision-Language-Action Models
by: Shah, Ameesh, et al.
Published: (2025)

${\tt KRAFT}$: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
by: Sivaramakrishnan, Aravind, et al.
Published: (2024)

Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths
by: Nguyen, Ninh, et al.
Published: (2026)

Failure Prediction at Runtime for Generative Robot Policies
by: Römer, Ralf, et al.
Published: (2025)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)

Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning
by: Huang, Haidong, et al.
Published: (2025)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
by: Wang, Caroline, et al.
Published: (2022)

Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
by: Endo, Masafumi, et al.
Published: (2024)

Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task
by: Ali, Hassan, et al.
Published: (2024)

Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries
by: Ocker, Felix, et al.
Published: (2024)

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
by: Albiero, Daniel, et al.
Published: (2026)

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
by: Chen, Junting, et al.
Published: (2024)

Dynamic Exclusion of Low-Fidelity Data in Bayesian Optimization for Autonomous Beamline Alignment
by: Narayanan, Megha R., et al.
Published: (2024)

Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots
by: Li, Wanyue, et al.
Published: (2025)

Deployment-Time Reliability of Learned Robot Policies
by: Agia, Christopher
Published: (2026)

STERN: Simultaneous Trajectory Estimation and Relative Navigation for Autonomous Underwater Proximity Operations
by: Espinoza, Aldo Terán, et al.
Published: (2023)

CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles
by: Milojevic, Dejan, et al.
Published: (2025)