Andrea Bajcsy | DeepAI

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∙ 09/03/2023

Learning-Aware Safety for Interactive Autonomy

One of the outstanding challenges for the widespread deployment of robot...

0 Haimin Hu, et al. ∙

∙ 08/19/2023

StROL: Stabilized and Robust Online Learning from Humans

Today's robots can learn the human's reward function online, during the ...

0 Shaunak A. Mehta, et al. ∙

∙ 04/11/2023

Contingency Games for Multi-Agent Interaction

Contingency planning, wherein an agent generates a set of possible plans...

0 Lasse Peters, et al. ∙

∙ 01/02/2023

Towards Modeling and Influencing the Dynamics of Human Learning

Humans have internal models of robots (like their physical capabilities)...

0 Ran Tian, et al. ∙

∙ 09/21/2022

Towards Robots that Influence Humans over Long-Term Interaction

When humans interact with robots influence is inevitable. Consider an au...

0 Shahabedin Sagheb, et al. ∙

∙ 09/29/2021

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models

An outstanding challenge with safety methods for human-robot interaction...

0 Ran Tian, et al. ∙

∙ 07/30/2021

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts

As safety-critical autonomous vehicles (AVs) will soon become pervasive ...

0 Andrea Bajcsy, et al. ∙

∙ 07/06/2021

Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections

When a robot performs a task next to a human, physical interaction is in...

10 Dylan P. Losey, et al. ∙

∙ 03/09/2021

Analyzing Human Models that Adapt Online

Predictive human models often need to adapt their parameters online from...

11 Andrea Bajcsy, et al. ∙

∙ 02/03/2020

Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections

Human input has enabled autonomous systems to improve their capabilities...

0 Andreea Bobu, et al. ∙

∙ 10/29/2019

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

Real-world autonomous systems often employ probabilistic predictive mode...

0 Somil Bansal, et al. ∙

∙ 05/01/2019

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments

Real-world autonomous vehicles often operate in a priori unknown environ...

0 Andrea Bajcsy, et al. ∙

∙ 11/14/2018

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance

Robust motion planning is a well-studied problem in the robotics literat...

0 Andrea Bajcsy, et al. ∙

∙ 10/11/2018

Learning under Misspecified Objective Spaces

Learning robot objective functions from human input has become increasin...

0 Andreea Bobu, et al. ∙

∙ 05/31/2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions

In order to safely operate around humans, robots can employ predictive m...

0 Jaime F. Fisac, et al. ∙

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