Stephen L. Smith

research

∙ 07/20/2023

Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation

With the introduction of collaborative robots, humans and robots can now...

0 Ali Noormohammadi-Asl, et al. ∙

research

∙ 07/10/2023

Optimal Robot Path Planning In a Collaborative Human-Robot Team with Intermittent Human Availability

This paper presents a solution for the problem of optimal planning for a...

0 Abhinav Dahiya, et al. ∙

research

∙ 07/08/2023

Optimizing Task Waiting Times in Dynamic Vehicle Routing

We study the problem of deploying a fleet of mobile robots to service ta...

0 Alexander Botros, et al. ∙

research

∙ 06/28/2023

On the Impact of Interruptions During Multi-Robot Supervision Tasks

Human supervisors in multi-robot systems are primarily responsible for m...

0 Abhinav Dahiya, et al. ∙

research

∙ 03/15/2023

Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints

In this paper we study multi-robot path planning for persistent monitori...

0 Ahmad Bilal Asghar, et al. ∙

research

∙ 02/22/2023

Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters

Vessel transit in ice-covered waters poses unique challenges in safe and...

0 Rodrigue de Schaetzen, et al. ∙

research

∙ 12/10/2022

A Survey of Multi-Agent Human-Robot Interaction Systems

This article presents a survey of literature in the area of Human-Robot ...

0 Abhinav Dahiya, et al. ∙

research

∙ 10/14/2022

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy

We study the sample placement and shortest tour problem for robots taske...

0 Shamak Dutta, et al. ∙

research

∙ 09/07/2022

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams

In this paper, we consider the problem of allocating human operator assi...

0 Yifan Cai, et al. ∙

research

∙ 06/01/2022

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems

Many problems in robotics seek to simultaneously optimize several compet...

0 Alexander Botros, et al. ∙

research

∙ 01/03/2022

Submodular Maximization with Limited Function Access

We consider a class of submodular maximization problems in which decisio...

0 Andrew Downie, et al. ∙

research

∙ 12/15/2021

Learning Submodular Objectives for Team Environmental Monitoring

In this paper, we study the well-known team orienteering problem where a...

0 Nils Wilde, et al. ∙

research

∙ 11/11/2021

Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach

In this paper, we consider the problem of allocating human operators in ...

0 Abhinav Dahiya, et al. ∙

research

∙ 10/01/2021

Learning Reward Functions from Scale Feedback

Today's robots are increasingly interacting with people and need to effi...

1 Nils Wilde, et al. ∙

research

∙ 09/16/2021

Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning

In this paper, we tackle the problem of generating a turn-minimizing cov...

0 Megnath Ramesh, et al. ∙

research

∙ 07/23/2021

Multi-Start n-Dimensional Lattice Planning with Optimal Motion Primitives

In the field of motion planning the use of pre-computed, feasible, local...

0 Alexander Botros, et al. ∙

research

∙ 06/07/2021

Tunable Trajectory Planner Using G3 Curves

Trajectory planning is commonly used as part of a local planner in auton...

0 Alexander Botros, et al. ∙

research

∙ 12/03/2020

LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment

Mobile robots are often tasked with repeatedly navigating through an env...

0 Florence Tsang, et al. ∙

research

∙ 11/09/2020

Joint Estimation of Expertise and Reward Preferences From Human Demonstrations

When a robot learns from human examples, most approaches assume that the...

0 Pamela Carreno-Medrano, et al. ∙

research

∙ 05/08/2020

Active Preference Learning using Maximum Regret

We study active preference learning as a framework for intuitively speci...

19 Nils Wilde, et al. ∙

research

∙ 05/05/2020

Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments

In this paper, we revisit the distributed coverage control problem with ...

0 Armin Sadeghi, et al. ∙

research

∙ 04/02/2020

Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks

In this paper, we propose a model-free reinforcement learning method to ...

11 Chuanzheng Wang, et al. ∙

research

∙ 01/30/2020

Universally Safe Swerve Manoeuvres for Autonomous Driving

This paper characterizes safe following distances for on-road driving wh...

0 Ryan De Iaco, et al. ∙

research

∙ 10/11/2019

Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease

Accurate early diagnosis and monitoring of neurodegenerative conditions ...

17 Amir Dehsarvi, et al. ∙

research

∙ 09/10/2019

On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks

This paper focuses on the problem of controlling self-interested drivers...

0 Armin Sadeghi, et al. ∙

research

∙ 09/07/2019

Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle

In this paper we investigate the problem of using a UAV to provide curre...

0 Barry Gilhuly, et al. ∙

research

∙ 07/24/2019

Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation

An important challenge in human robot interaction (HRI) is enabling non-...

0 Nils Wilde, et al. ∙

research

∙ 03/25/2019

Computing a Minimal Set of t-Spanning Motion Primitives for Lattice Planners

In this paper we consider the problem of computing an optimal set of mot...

0 Alexander Botros, et al. ∙

research

∙ 03/14/2019

Multi-Robot Routing for Persistent Monitoring with Latency Constraints

In this paper we study a multi-robot path planning problem for persisten...

0 Ahmad Bilal Asghar, et al. ∙

research

∙ 03/05/2019

Learning a Lattice Planner Control Set for Autonomous Vehicles

In this paper, we introduce a method to compute a sparse lattice planner...

0 Ryan De Iaco, et al. ∙

research

∙ 01/28/2019

Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions

Specifying complex task behaviours while ensuring good robot performance...

0 Nils Wilde, et al. ∙

Stephen L. Smith

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