Stephen L. Smith

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 118

Top Venues

Publications

Ali Noormohammadi-Asl, Kevin Fan, Stephen L. Smith, Kerstin Dautenhahn
Human Leading or Following Preferences: Effects on Human Perception of the Robot and the Human-Robot Collaboration. CoRR (2024)
Nils Wilde, Stephen L. Smith, Javier Alonso-Mora
Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization. IEEE Robotics Autom. Lett. 9 (3) (2024)
Ali Noormohammadi-Asl, Stephen L. Smith, Kerstin Dautenhahn
To Lead or to Follow? Adaptive Robot Task Planning in Human-Robot Collaboration. CoRR (2024)
Abhinav Dahiya, Stephen L. Smith
Optimal Robot Path Planning In a Collaborative Human-Robot Team with Intermittent Human Availability. CoRR (2023)
Ali Noormohammadi-Asl, Ali Ayub, Stephen L. Smith, Kerstin Dautenhahn
Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation. RO-MAN (2023)
Rodrigue de Schaetzen, Alexander Botros, Robert Gash, Kevin Murrant, Stephen L. Smith
Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters. CoRR (2023)
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. IEEE Trans. Robotics 39 (1) (2023)
Abhinav Dahiya, Alexander Mois Aroyo, Kerstin Dautenhahn, Stephen L. Smith
A survey of multi-agent Human-Robot Interaction systems. Robotics Auton. Syst. 161 (2023)
Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Optimizing Task Waiting Times in Dynamic Vehicle Routing. CoRR (2023)
Andrew Downie, Bahman Gharesifard, Stephen L. Smith
Submodular Maximization With Limited Function Access. IEEE Trans. Autom. Control. 68 (9) (2023)
Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith
Anytime Replanning of Robot Coverage Paths for Partially Unknown Environments. CoRR (2023)
Ali Noormohammadi-Asl, Ali Ayub, Stephen L. Smith, Kerstin Dautenhahn
Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation. CoRR (2023)
Abhinav Dahiya, Yifan Cai, Oliver Schneider, Stephen L. Smith
On the Impact of Interruptions During Multi-Robot Supervision Tasks. ICRA (2023)
Jean-Luc Bastarache, Christopher Nielsen, Stephen L. Smith
On Legible and Predictable Robot Navigation in Multi-Agent Environments. ICRA (2023)
Ahmad Bilal Asghar, Shreyas Sundaram, Stephen L. Smith
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints. CoRR (2023)
Shamak Dutta, Nils Wilde, Stephen L. Smith
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CDC (2023)
Shamak Dutta, Nils Wilde, Stephen L. Smith
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CoRR (2023)
Abhinav Dahiya, Yifan Cai, Oliver Schneider, Stephen L. Smith
On the Impact of Interruptions During Multi-Robot Supervision Tasks. CoRR (2023)
Armin Sadeghi Yengejeh, Ahmad Bilal Asghar, Stephen L. Smith
Distributed Multirobot Coverage Control of Nonconvex Environments With Guarantees. IEEE Trans. Control. Netw. Syst. 10 (2) (2023)
Rodrigue de Schaetzen, Alexander Botros, Robert Gash, Kevin Murrant, Stephen L. Smith
Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters. ICRA (2023)
Giovanni D'Urso, Armin Sadeghi, Chanyeol Yoo, Stephen L. Smith, Robert Fitch
Distributed Multi-Robot Equitable Partitioning Algorithm for Allocation in Warehouse Picking Scenarios. CASE (2023)
Chuanzheng Wang, Yiming Meng, Jun Liu, Stephen L. Smith
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations. CoRR (2023)
Abhinav Dahiya, Stephen L. Smith
Optimal Robot Path Planning In a Collaborative Human-Robot Team with Intermittent Human Availability. RO-MAN (2023)
Abhinav Dahiya, Stephen L. Smith
Adaptive Robot Assistance: Expertise and Influence in Multi-User Task Planning. CoRR (2023)
Alexander Botros, Stephen L. Smith
Spatio-Temporal Lattice Planning Using Optimal Motion Primitives. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Nils Wilde, Stephen L. Smith, Javier Alonso-Mora
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization. CoRR (2023)
Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. ICRA (2023)
Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Optimizing Task Waiting Times in Dynamic Vehicle Routing. IEEE Robotics Autom. Lett. 8 (9) (2023)
Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. CoRR (2022)
Andrew Downie, Bahman Gharesifard, Stephen L. Smith
Optimistic Greedy Strategies for Partially Known Submodular Functions. CDC (2022)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. CoRR (2022)
Yi Feng Wang, Christopher Nielsen, Stephen L. Smith
A Pursuit Evasion Approach for Avoiding an Inattentive Human in the Presence of a Static Obstacle. CDC (2022)
Ali Noormohammadi-Asl, Ali Ayub, Stephen L. Smith, Kerstin Dautenhahn
Task Selection and Planning in Human-Robot Collaborative Processes: To be a Leader or a Follower? RO-MAN (2022)
Chuanzheng Wang, Yiming Meng, Stephen L. Smith, Jun Liu
Data-Driven Learning of Safety-Critical Control with Stochastic Control Barrier Functions. CoRR (2022)
Abhinav Dahiya, Alexander Mois Aroyo, Kerstin Dautenhahn, Stephen L. Smith
A Survey of Multi-Agent Human-Robot Interaction Systems. CoRR (2022)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. WAFR (2022)
Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CDC (2022)
Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CoRR (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
Informative Path Planning in Random Fields via Mixed Integer Programming. CDC (2022)
Andrew Downie, Bahman Gharesifard, Stephen L. Smith
Submodular Maximization with Limited Function Access. CoRR (2022)
Andrew Downie, Bahman Gharesifard, Stephen L. Smith
A Programming Approach for Worst-case Studies in Distributed Submodular Maximization. CDC (2022)
Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith
Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit Approach. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Chuanzheng Wang, Yiming Meng, Stephen L. Smith, Jun Liu
Data-Driven Learning of Safety-Critical Control with Stochastic Control Barrier Functions. CDC (2022)
Alexander Botros, Stephen L. Smith
Curves. IEEE Trans. Intell. Veh. 7 (2) (2022)
Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment. IEEE Trans. Robotics 38 (3) (2022)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics Autom. Lett. 7 (2) (2022)
Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith
Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning. IEEE Robotics Autom. Lett. 7 (4) (2022)
Barry Gilhuly, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith
Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions. ICRA (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
An Improved Greedy Algorithm for Subset Selection in Linear Estimation. ECC (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
Informative Path Planning in Random Fields via Mixed Integer Programming. CoRR (2022)
Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith
Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning. CoRR (2021)
Chuanzheng Wang, Yiming Meng, Stephen L. Smith, Jun Liu
Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions. CoRR (2021)
Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach. CoRR (2021)
Ali Noormohamm-Adi, Abhinav Dahiya, Alexander Mois Aroyo, Stephen L. Smith, Kerstin Dautenhahn
The Effect of Robot Decision Making on Human Perception of a Robot in a Collaborative Task - A Remote Study. HAI (2021)
Alexander Botros, Nils Wilde, Stephen L. Smith
Learning Control Sets for Lattice Planners from User Preferences. WAFR (2021)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. CoRR (2021)
Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
Learning Reward Functions from Scale Feedback. CoRR (2021)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
Approximation Algorithms for Distributed Multi-robot Coverage in Non-convex Environments. WAFR (2021)
Chuanzheng Wang, Yiming Meng, Stephen L. Smith, Jun Liu
Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions. CDC (2021)
Armin Sadeghi Yengejeh, Stephen L. Smith
Rebalancing Self-Interested Drivers in Ride-Sharing Networks to Improve Customer Wait-Time. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
Learning Reward Functions from Scale Feedback. CoRL (2021)
Alexander Botros, Stephen L. Smith
Tunable Trajectory Planner Using G3 Curves. CoRR (2021)
Alexander Botros, Stephen L. Smith
Multi-Start n-Dimensional Lattice Planning with Optimal Motion Primitives. CoRR (2021)
Chuanzheng Wang, Yiming Meng, Yinan Li, Stephen L. Smith, Jun Liu
Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control. ECC (2021)
Nils Wilde, Dana Kulic, Stephen L. Smith
Active Preference Learning using Maximum Regret. IROS (2020)
Nils Wilde, Dana Kulic, Stephen L. Smith
Learning User Preferences from Corrections on State Lattices. ICRA (2020)
Chuanzheng Wang, Yinan Li, Yiming Meng, Stephen L. Smith, Jun Liu
Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control. CoRR (2020)
Nils Wilde, Dana Kulic, Stephen L. Smith
Active Preference Learning using Maximum Regret. CoRR (2020)
Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic
Improving user specifications for robot behavior through active preference learning: Framework and evaluation. Int. J. Robotics Res. 39 (6) (2020)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments. CoRR (2020)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Safe Swerve Maneuvers for Autonomous Driving. IV (2020)
Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment. CoRR (2020)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Universally Safe Swerve Manoeuvres for Autonomous Driving. CoRR (2020)
Chuanzheng Wang, Yinan Li, Stephen L. Smith, Jun Liu
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks. CoRR (2020)
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. CoRR (2020)
Barry Gilhuly, Stephen L. Smith
Aerial Coverage Planning for Areas Hidden from the View of a Moving Ground Vehicle. CASE (2020)
Barry Gilhuly, Stephen L. Smith
Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle. CDC (2019)
Nils Wilde, Dana Kulic, Stephen L. Smith
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. CoRR (2019)
Barry Gilhuly, Stephen L. Smith
Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle. CoRR (2019)
Alexander Botros, Stephen L. Smith
Computing a Minimal Set of t-Spanning Motion Primitives for Lattice Planners. CoRR (2019)
Ryan A. MacDonald, Stephen L. Smith
Active sensing for motion planning in uncertain environments via mutual information policies. Int. J. Robotics Res. 38 (2-3) (2019)
Frank Imeson, Stephen L. Smith
An SMT-Based Approach to Motion Planning for Multiple Robots With Complex Constraints. IEEE Trans. Robotics 35 (3) (2019)
Armin Sadeghi, Stephen L. Smith
Coverage Control for Multiple Event Types with Heterogeneous Robots. ICRA (2019)
Alexander Botros, Stephen L. Smith
Computing a Minimal Set of t-Spanning Motion Primitives for Lattice Planners. IROS (2019)
Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation. CoRR (2019)
Nils Wilde, Dana Kulic, Stephen L. Smith
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. IEEE Robotics Autom. Lett. 4 (2) (2019)
Ahmad Bilal Asghar, Stephen L. Smith, Shreyas Sundaram
Multi-Robot Routing for Persistent Monitoring with Latency Constraints. ACC (2019)
Florence Tsang, Ryan A. MacDonald, Stephen L. Smith
Learning Motion Planning Policies in Uncertain Environments through Repeated Task Executions. ICRA (2019)
Armin Sadeghi, Stephen L. Smith
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CoRR (2019)
Armin Sadeghi, Stephen L. Smith
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CDC (2019)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Learning a Lattice Planner Control Set for Autonomous Vehicles. IV (2019)
Ahmad Bilal Asghar, Stephen L. Smith, Shreyas Sundaram
Multi-Robot Routing for Persistent Monitoring with Latency Constraints. CoRR (2019)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
On Minimum Time Multi-Robot Planning with Guarantees on the Total Collected Reward. MRS (2019)
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Learning a Lattice Planner Control Set for Autonomous Vehicles. CoRR (2019)
Pamela Carreno-Medrano, Abhinav Dahiya, Stephen L. Smith, Dana Kulic
Incremental Estimation of Users' Expertise Level. RO-MAN (2019)
Bahman Gharesifard, Stephen L. Smith
Distributed Submodular Maximization With Limited Information. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Alexandru Blidaru, Stephen L. Smith, Dana Kulic
Assessing User Specifications for Robot Task Planning. RO-MAN (2018)
Nils Wilde, Dana Kulic, Stephen L. Smith
Learning User Preferences in Robot Motion Planning Through Interaction. ICRA (2018)
Ahmad Bilal Asghar, Stephen L. Smith
A Patrolling Game for Adversaries with Limited Observation Time. CDC (2018)
Armin Sadeghi, Stephen L. Smith
Re-Deployment Algorithms for Multiple Service Robots to Optimize Task Response. ICRA (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephen L. Smith