Shengkang Chen

According to our database, Shengkang Chen authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception.

Kantwon Rogers, Reiden John Allen Webber, Geronimo Gorostiaga Zubizarreta, Arthur Melo Cruz, Shengkang Chen, Ronald C. Arkin, Jason Borenstein, Alan R. Wagner

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Dynamic task allocation approaches for coordinated exploration of Subterranean environments.

Matthew Joseph O'Brien, Jason Williams, Shengkang Chen, Alex Pitt, Ronald C. Arkin, Navinda Kottege

Auton. Robots, December, 2023

Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge.

Navinda Kottege, Jason Williams, Brendan Tidd, Fletcher Talbot, Ryan Steindl, Mark Cox, Dennis Frousheger, Thomas Hines, Alex Pitt, Benjamin Tam, Brett Wood, Lauren Hanson, Katrina Lo Surdo, Thomas Molnar, Matt Wildie, Kazys Stepanas, Gavin Catt, Lachlan Tychsen-Smith, Dean Penfold, Leslie Overs, Milad Ramezani, Kasra Khosoussi, Farid Kendoul, Glenn Wagner, Duncan Palmer, Jack Manderson, Corey Medek, Matthew Joseph O'Brien, Shengkang Chen, Ronald C. Arkin

CoRR, 2023

Game-Theoretical Approach to Multi-Robot Task Allocation Using a Bio-Inspired Optimization Strategy.

Shengkang Chen, Tony X. Lin, Fumin Zhang

IROS, 2023

Hybrid SUSD-Based Task Allocation for Heterogeneous Multi-Robot Teams.

Shengkang Chen, Tony X. Lin, Said Al-Abri, Ronald C. Arkin, Fumin Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge.

Nicolas Hudson, Fletcher Talbot, Mark Cox, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernández, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitchell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew Joseph O'Brien, Shu Jiang, Shengkang Chen, Ronald C. Arkin

Field Robotics, March, 2022

Constrained Optimal Querying: Huffman Coding and Beyond.

Shuyuan Zhang, Jichen Sun, Shengkang Chen

CoRR, 2022

Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios.

Shengkang Chen, Vidullan Surendran, Alan R. Wagner, Jason Borenstein, Ronald C. Arkin

CoRR, 2022

Multi-modal User Interface for Multi-robot Control in Underground Environments.

Shengkang Chen, Matthew Joseph O'Brien, Fletcher Talbot, Jason Williams, Brendan Tidd, Alex Pitt, Ronald C. Arkin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Counter-Misdirection in Behavior-based Multi-robot Teams **Research supported by the National Science Foundation under CNS EAGER grant #1848653.

Shengkang Chen, Ronald C. Arkin

Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021

2019

CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms.

Shengkang Chen

PhD thesis, 2019

CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms.

Shengkang Chen, Ankur Mehta

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Multirobot Cooperative Localization Algorithm with Explicit Communication and Its Topology Analysis.

Tsang-Kai Chang, Shengkang Chen, Ankur Mehta

Proceedings of the Robotics Research, The 18th International Symposium, 2017