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Ongoing Work

Task and motion planning for object manipulation in clutter

  • Goal: Develop algorithms to rearrange objects in cluttered and confined environments

  • Related articles/papers

    • Changjoo Nam, S. H. Cheong, J. Lee, D. H. Kim, and C. Kim, "Fast and resilient manipulation planning for object retrieval in cluttered and confined environments," IEEE Trans. on Robotics (T-RO), Feb 2021.

    • J. Ahn, J. Lee, S. H. Cheong, C. Kim, Changjoo Nam, "An integrated approach for determining objects to be relocated and their goal positions inside clutter for object retrieval," IEEE Int. Conf. on Robotics and Automation (ICRA), Jun 2021. (BK21+ CS Top Conference)

    • J. Lee, Changjoo Nam, J. Park, C. Kim, ``Tree Search-based Task and Motion Planning with Prehensile and Non-prehensile Manipulation for Obstacle Rearrangement in Clutter,'' IEEE Int. Conf. on Robotics and Automation (ICRA), Jun 2021. (BK21+ CS Top Conference)

    • Changjoo Nam, J. Lee, S. Cheong, B. Y. Cho, and C. Kim, “Fast and resilient manipulation planning for target retrieval in clutter,” IEEE Int. Conf. on Robotics and Automation (ICRA), Jun 2020. (BK21+ CS Top Conference)

    • S. Cheong, B. Y. Cho, J. Lee, C. Kim, and Changjoo Nam, “Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation,” IEEE Int. Conf. on Robotics and Automation (ICRA), Jun 2020. (BK21+ CS Top Conference )

    • J. Lee, Y. Cho, Changjoo Nam, J. H. Park, and C. Kim, “Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments,” IEEE Int. Conf. on Robotics and Automation (ICRA), May 2019. (BK21+ CS Top Conference)

    • Changjoo Nam, S. Lee, J. Lee, S. H. Cheong, D. H. Kim, C. Kim, I. Kim, and S.-K. Park, “A software architecture for service robots manipulating objects in human environments,” IEEE Access, Jun 2020.

    • ​S. Cheong, B. Y. Cho, J. Lee, J. Lee, D. H. Kim, Changjoo Nam, C. Kim, and S.-K. Park, "Obstacle Rearrangement for Manipulation in Clutter using a Deep Q Network," Intelligent Service Robotics (ISR), Aug 2021.

Deep reinforcement learning for object manipulation

  • Goal: Develop technologies for human-level visuo-tactile sensing for object manipulation of soft-shell deformable objects

Multi-robot coordination for object manipulation

  • Goal: Develop coordination algorithms for multiple manipulators for object rearrangement

  • Related articles/papers

    • J. Ahn, C. Kim, and Changjoo Nam, "Coordination of two robotic manipulators for object retrieval in clutter," IEEE Int. Conf. on Robotics and Automation (ICRA), May 2022. (BK21+ CS Top Conference)

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Multi-robot path planning

  • Goal: Develop path planning algorithms for multiple coordinated mobile robots 

Past Work

Visual task planning for mobile navigation using a neurosymbolic model

  • Goal: Generate symbolic task plans for navigation from images capturing valid state transitions

  • Related articles/papers

    • U. Rakhman, J. Ahn, and Changjoo Nam, "Fully automatic data collection for neuro-symbolic task planning for mobile robot navigation," IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), 2021.​

Design of social behaviors for human-robot interaction

  • Goal: Design robot behaviors that can make users feel comfortable

  • Related articles/papers

    • ​D. Yang, Y.-J. Chae, D. Kim, Y. Lim, D. H. Kim, C. Kim, S.-K. Park, and Changjoo Nam, "Effects of social behaviors of robots in privacy-sensitive situations," Int. Journal of Social Robotics (IJSR), Jul 2021.

Human factors in supervisory control of multiple robots with swarm behaviors

  • Goal: Model human trust computationally while the human controls a swarm of robots in a supervisory fashion

  • Related articles/papers

    • Changjoo Nam, P. Walker, H. Li, M. Lewis, and K. Sycara, "Models of Trust in Human Control of Swarms with Varied Levels of Autonomy," IEEE Trans. on Human-Machine Systems (T-HMS), May 2020.

    • R. Liu, F. Jia, W. Luo, M. Chandarana, Changjoo Nam, M. Lewis, and K. Sycara, “Trust-Aware Behavior Reflection for Robot Swarm Self-Healing,” Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2019. (BK21+ CS Top Conference)

    • Changjoo Nam, H. Li, S. Li, M. Lewis, and K. Sycara, “Trust of Humans in Supervisory Control of Swarm Robots with Varied Levels of Autonomy,” IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Oct 2018.

    • J. Bang, H. Li, S. Nagavalli, Changjoo Nam, M. Lewis, and K. Sycara, “Human Interaction Through an Optimal Sequencer to Control Robotic Swarms,” IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Oct 2018.

    • Changjoo Nam, P. Walker, M. Lewis, and K. Sycara, "Predicting Trust in Human Control of Swarms via Inverse Reinforcement Learning," IEEE Int. Symposium on Robot and Human Interactive Communication (RO-MAN), Lisbon, Portugal, Aug 2017. 

Multi-robot coordination in dynamic and uncertain environments

  • Goal: Develop algorithms to coordinate multiple robots to perform distributed tasks when costs are not deterministic

  • Related articles/papers

    • Changjoo Nam and D. A. Shell, “Robots in the Huddle: Upfront Computation to Reduce Global Communication at Run-time in Multi-Robot Task Allocation,” IEEE Trans. on Robotics (T-RO), Feb 2020.

    • W. Luo, Changjoo Nam, G. Kantor, and K. Sycara, “Decentralized Environmental Modeling and Adaptive Sampling for Multi-Robot Sensor Coverage,” Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2019. (BK21+ CS Top Conference)

    • S. Yi, Changjoo Nam, and K. Sycara, “Indoor Pursuit-Evasion with Hybrid Hierarchical Partially Observable Markov Decision Processes for Multi-Robot Systems,” Int. Symp. on Distributed Autonomous Robotic Systems (DARS), Oct 2018.

    • W. Luo, Changjoo Nam, K. Sycara, “Online Decision Making for Stream-based Robotic Sampling via Submodular Optimization,” IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), Nov 2017.

    • Changjoo Nam and D. A. Shell, "Analyzing the sensitivity of the optimal assignment in probabilistic multi-robot task allocation," IEEE Robotics and Automation Letters (RA-L), Jan 2017.

    • Changjoo Nam and D. A. Shell, "Bundling policies for sequential stochastic tasks in multi-robot systems," Int. Symp. on Distributed Autonomous Robotic Systems (DARS), Nov 2016.

    • Changjoo Nam and D. A. Shell, "Assignment Algorithms for Modeling Resource Contention in Multi-Robot Task Allocation," IEEE Trans. on Automation Science and Engineering (T-ASE), Jul 2015. 

    • Changjoo Nam and D. A. Shell, "When to do your own thing: Analysis of cost uncertainties in multi-robot task allocation at run-time," IEEE Int. Conf. on Robotics and Automation (ICRA), May 2015. (BK21+ CS Top Conference)

    • Changjoo Nam and D. A. Shell, "Assignment Algorithms for Modeling Resource Contention and Interference in Multi-Robot Task-Allocation," IEEE Int. Conf. on Robotics and Automation (ICRA), May 2014. (BK21+ CS Top Conference)

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