Shengkang Chen

Orcid: 0000-0002-9217-0474

Affiliations:
  • Georgia Institute of Technology, chool of Electrical and Computer Engineering, Atlanta, GA, USA (PhD 2024)


According to our database1, Shengkang Chen authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributed Heterogeneous Multi-robot Task Allocation in Communication-limited Environments.
PhD thesis, 2024

Heterogeneous Robot Teams with Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge.
Field Robotics, 2024

An In-Context Learning Approach for LLM-Enabled Multi-Robot Task Allocation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

Opinion-based Strategy for Distributed Multi-Robot Task Allocation in Swarms of Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception.
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.
Auton. Robots, December, 2023

Game-Theoretical Approach to Multi-Robot Task Allocation Using a Bio-Inspired Optimization Strategy.
IROS, 2023

Hybrid SUSD-Based Task Allocation for Heterogeneous Multi-Robot Teams.
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.
Field Robotics, March, 2022

Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios.
CoRR, 2022

Multi-modal User Interface for Multi-robot Control in Underground Environments.
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.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021


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