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Connor Basich
Connor Basich
Jet Propulsion Laboratory, California Institute of Technology
Verified email at jpl.nasa.gov - Homepage
Title
Cited by
Cited by
Year
Learning to Optimize Autonomy in Competence-Aware Systems
C Basich, J Svegliato, KH Wray, S Witwicki, J Biswas, S Zilberstein
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS …, 2020
392020
Using Flexible Execution, Replanning, and Model Parameter Updates to Address Environmental Uncertainty for a Planetary Lander
D Wang, JA Russino, C Basich, S Chien
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2020
122020
Using Flexible Execution, Replanning, and Model Parameter Updates to Address Environmental Uncertainty for a Planetary Lander
D Wang, JA Russino, C Basich, S Chien
Proceedings of the International Symposium on Artificial Intelligence …, 2020
122020
Solving Markov decision processes with partial state abstractions
SB Nashed, J Svegliato, M Brucato, C Basich, R Grupen, S Zilberstein
2021 IEEE International Conference on Robotics and Automation (ICRA), 813-819, 2021
112021
Improving Competence for Reliable Autonomy
C Basich, J Svegliato, KH Wray, SJ Witwicki, S Zilberstein
European Conference on Artificial Intelligence (ECAI) AREA Workshop, 2020
112020
Introspective competence modeling for AV decision making
C Basich, KH Wray, S Witwicki, S Zilberstein
US Patent 11,307,585, 2022
102022
Satisfying Social Preferences in Ridesharing Services
S Saisubramanian, C Basich, S Zilberstein, CV Goldman
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3720-3725, 2019
102019
Analyzing the efficacy of flexible execution, replanning, and plan optimization for a planetary lander
D Wang, JA Russino, C Basich, S Chien
International Conference on Automated Planning and Scheduling (ICAPS), 2022
92022
Metareasoning for Safe Decision Making in Autonomous Systems
J Svegliato, C Basich, S Saisubramanian, S Zilberstein
IEEE International Conference on Robotics and Automation (ICRA), 2022
72022
Competence-Aware Path Planning Via Introspective Perception
S Rabiee, C Basich, KH Wray, S Zilberstein, J Biswas
IEEE Robotics and Automation Letters 7 (2), 3218-3225, 2022
62022
Improving Competence via Iterative State Space Refinement
C Basich, J Svegliato, A Beach, KH Wray, S Witwicki, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2021
52021
Competence-aware systems
C Basich, J Svegliato, KH Wray, S Witwicki, J Biswas, S Zilberstein
Artificial Intelligence 316, 103844, 2023
42023
Using Metareasoning to Maintain and Restore Safety for Reliably Autonomy
J Svegliato, C Basich, S Saisubramanian, S Zilberstein
International Joint Conference on Artificial Intelligence (IJCAI) R2AW Workshop, 2021
42021
A sampling-based optimization approach to handling environmental uncertainty for a planetary lander
C Basich, D Wang, JA Russino, S Chien, S Zilberstein
International Conference on Automated Planning and Scheduling (ICAPS …, 2021
32021
Semi-Autonomous Systems with Contextual Competence Awareness
S Mahmud, C Basich, S Zilberstein
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
22023
The Value of Incorporating Social Preferences in Dynamic Ridesharing
S Saisubramanian, C Basich, S Zilberstein, CV Goldman
International Conference on Automated Planning and Scheduling SPARK Workshop, 68, 2019
22019
Learning Constraints on Autonomous Behavior from Proactive Feedback
C Basich, S Mahmud, S Zilberstein
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
12023
Planning with Intermittent State Observability: Knowing When to Act Blind
C Basich, J Peterson, S Zilberstein
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
12022
A Sampling Based Approach to Robust Planning for a Planetary Lander
C Basich, JA Russino, S Chien, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
12022
Online State Space Refinement for Competence-Aware Systems
C Basich, KH Wray, S Witwicki, S Zilberstein
US Patent App. 17/828,815, 2023
2023
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