Cover Image

Robots that Suggest Safe Alternatives

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jeong, Hyun Joe, Chen, Rosy, Bajcsy, Andrea
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games
by: Pandya, Ravi, et al.
Published: (2024)

Parameterized Fast and Safe Tracking (FaSTrack) using Deepreach
by: Jeong, Hyun Joe, et al.
Published: (2024)

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
by: Zhao, Michelle, et al.
Published: (2024)

Updating Robot Safety Representations Online from Natural Language Feedback
by: Santos, Leonardo, et al.
Published: (2024)

AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space
by: Agrawal, Sankalp, et al.
Published: (2025)

Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
by: Nakamura, Kensuke, et al.
Published: (2024)

Position: Good Embodied Reward Models Need Bad Behavior Data
by: Tian, Ran, et al.
Published: (2026)

What You Don't Know Can Hurt You: How Well do Latent Safety Filters Understand Partially Observable Safety Constraints?
by: Kim, Matthew, et al.
Published: (2025)

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
by: Lekeufack, Jordan, et al.
Published: (2023)

Towards Safe Robot Foundation Models
by: Tölle, Maximilian, et al.
Published: (2025)

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis
by: Nakamura, Kensuke, et al.
Published: (2025)

When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
by: Yuan, Jessie, et al.
Published: (2026)

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
by: Bajcsy, Andrea, et al.
Published: (2019)

Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots
by: Zhu, James, et al.
Published: (2023)

Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
by: Seo, Junwon, et al.
Published: (2025)

On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control
by: Choi, Ho Jin, et al.
Published: (2024)

What Matters to You? Towards Visual Representation Alignment for Robot Learning
by: Tian, Ran, et al.
Published: (2023)

Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations
by: Peters, Lasse, et al.
Published: (2026)

Collaborative Conversation in Safe Multimodal Human-Robot Collaboration
by: Ferrari, Davide, et al.
Published: (2024)

A Unified Framework for Robots that Influence Humans over Long-Term Interaction
by: Sagheb, Shahabedin, et al.
Published: (2025)

Towards Safe Robot Foundation Models Using Inductive Biases
by: Tölle, Maximilian, et al.
Published: (2025)

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
by: Wu, Yilin, et al.
Published: (2025)

StROL: Stabilized and Robust Online Learning from Humans
by: Mehta, Shaunak A., et al.
Published: (2023)

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
by: Gupta, Pranay, et al.
Published: (2025)

VLM-driven Skill Selection for Robotic Assembly Tasks
by: Kim, Jeong-Jung, et al.
Published: (2025)

Reinforcement Learning for Robotic Safe Control with Force Sensing
by: Lin, Nan, et al.
Published: (2025)

Safe Multimodal Communication in Human-Robot Collaboration
by: Ferrari, Davide, et al.
Published: (2023)

GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems
by: Gaus, Johannes A., et al.
Published: (2025)

Soft is Safe: Human-Robot Interaction for Soft Robots
by: S, Rajashekhar V, et al.
Published: (2025)

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
by: Yang, Gengshan, et al.
Published: (2024)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

Multimodal Safe Control for Human-Robot Interaction
by: Pandya, Ravi, et al.
Published: (2023)

Learning Safe-Stoppability Monitors for Humanoid Robots
by: Sun, Yifan, et al.
Published: (2026)

Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres
by: Michaux, Jonathan, et al.
Published: (2024)

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

SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies
by: Oelerich, Thies, et al.
Published: (2026)

SPARK: Safe Protective and Assistive Robot Kit
by: Sun, Yifan, et al.
Published: (2025)

Safe and Trustworthy Robot Pathfinding with BIM, MHA*, and NLP
by: Amani, Mani, et al.
Published: (2024)

An Adaptable, Safe, and Portable Robot-Assisted Feeding System
by: Gordon, Ethan Kroll, et al.
Published: (2024)

Safe and Transparent Robots for Human-in-the-Loop Meat Processing
by: Parekh, Sagar, et al.
Published: (2025)