Siva Kailas

Siva Kailas

PhD in Robotics (GaTech), MS Robotics (CMU), BS Computer Science (ASU)

About Me

My name is Siva Kailas and I am a Robotics Ph.D. student at Georgia Institute of Technology (School of Interactive Computing), co-advised under Prof. Harish Ravichandar and Prof. Dhruv Batra. My research focus at Georgia Tech is about generalizability in multi-agent embodied learning. I received the NSF Graduate Research Fellowship in 2023. Before coming to Georgia Tech, I received my M.S. in Robotics from Carnegie Mellon University Robotics Institute (School of Computer Science) in 2023. I received my B.S. in Computer Science from Arizona State University (School of Computing, Informatics, and Decision Systems Engineering) in 2020. I worked at Amazon.com Incorporated as a Software Development Engineer from 2020 - 2021.

Publications

For additional information, you can find my articles on my Google Scholar profile.

  • Kailas, Siva, Wenhao Luo, and Katia Sycara. 2023. “Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting.” In EPIA Conference on Artificial Intelligence, 349–61. Springer Nature Switzerland Cham.

  • Karten, Seth, Siva Kailas, and Katia Sycara. 2023. “Emergent Compositional Concept Communication Through Mutual Information in Multi-Agent Teams.” In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2391–93.

  • Bhattacharya, Sushmita, Siva Kailas, Sahil Badyal, Stephanie Gil, and Dimitri Bertsekas. 2023. “Multiagent Reinforcement Learning: Rollout and Policy Iteration for POMDP with Application to Multi-Robot Problems.” IEEE Transactions on Robotics.

  • Karten, Seth, Mycal Tucker, Siva Kailas, and Katia Sycara. 2023. “Towards True Lossless Sparse Communication in Multi-Agent Systems.” In 2023 IEEE International Conference on Robotics and Automation (ICRA), 7191–97. IEEE.

  • Karten, Seth, Mycal Tucker, Huao Li, Siva Kailas, Michael Lewis, and Katia Sycara. 2023. “Interpretable Learned Emergent Communication for Human-Agent Teams.” IEEE Transactions on Cognitive and Developmental Systems.

  • Karten, Seth, Siva Kailas, Huao Li, and Katia Sycara. 2023. “On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning.” arXiv Preprint arXiv:2302.14276.

  • Jong, Andrew, Mukai Yu, Devansh Dhrafani, Siva Kailas, Brady Moon, Katia Sycara, and Sebastian Scherer. 2023. “WIT-UAS: A Wildland-Fire Infrared Thermal Dataset to Detect Crew Assets from Aerial Views.” In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 11464–71. IEEE.

  • Capiola, August, Joseph B Lyons, Krista N Harris, Izz aldin Hamdan, Siva Kailas, and Katia Sycara. 2023. “‘Do What You Say?’ The Combined Effects of Framed Social Intent and Autonomous Agent Behavior on the Trust Process.” Computers in Human Behavior 149: 107966.

  • Bhattacharya, Sushmita, Siva Kailas, Sahil Badyal, Stephanie Gil, and Dimitri Bertsekas. 2021. “Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems.” In Conference on Robot Learning, 1814–28. PMLR.

  • Kailas, Siva Maneparambil. 2020. “Convolutional Neural Network for Pose Initialization with Uncertainty Estimation.”

  • Dakhane, Akash, Shannon Tweedley, Siva Kailas, Robert Marzke, and Narayanan Neithalath. 2017. “Mechanical and Microstructural Characterization of Alkali Sulfate Activated High Volume Fly Ash Binders.” Materials & Design 122: 236–46.

  • Dakhane, Akash, Sumanta Das, Siva Kailas, and Narayanan Neithalath. 2016. “Elucidating the Crack Resistance of Alkali-Activated Slag Mortars Using Coupled Fracture Tests and Image Correlation.” Journal of the American Ceramic Society 99 (1): 273–80.

Teaching

As a teaching assistant, I have assisted students in computer science and electrical engineering classes by teaching and reinforcing concepts and assisted professors in preparing course material and assessment activities for various engineering courses.

  • Teaching Assistant at Fulton School of Engineering, Arizona State University:
    • August 2017 - December 2017: Digital Design Fundamentals (CSE 120, Prof. Shamala Chickamenahalli)
    • January 2018 - May 2018: Circuits 1 (EEE 202, Prof. Shamala Chickamenahalli)
    • August 2018 - December 2018: Circuits 2 (EEE 334, Prof. Shamala Chickamenahalli)
    • January 2019 - May 2019: Theoretical Computational Science (CSE 355, Prof. Heni Ben Amor)
    • January 2020 - May 2020: Artificial Intelligence (CSE 471, Prof. Stephanie Gil)

Recent News

For most of these, you can find additional details about each of these (and information about older events) in my CV/Resume.

  • [August 2023] I joined the PhD Robotics program at Georgia Institute of Technology and have joined the Structured Techniques for Algorithmic Robotics Lab with Prof. Harish Ravichandar as my advisor and co-advised by Prof. Dhruv Batra from Meta FAIR Lab.
  • [July 2023] I defended my thesis with Prof. Katia Sycara, Prof. George Kantor, and Yi Sha as my committee and completed my MS in Robotics from Carnegie Mellon University.
  • [May 2023] I received three PhD admissions (PhD Robotics from Georgia Institute of Technology, PhD Computer Science from Harvard University, and PhD Robotics from Carnegie Mellon University).
  • [March 2023] I received the NSF Graduate Research Fellowship.
  • [June 2022] I started as a Research Intern at the Air Force Research Lab.
  • [October 2021] I completed my employment as a Software Development Engineer at Amazon.com Incorporated.
  • [August 2021] I joined the MS Robotics program at Carnegie Mellon University and have joined the Advanced Agent-Robotics Technology Lab with Prof. Katia Sycara as my advisor.
  • [May 2021] I received three MS admissions from Carnegie Mellon University (MS Robotics, MS Machine Learning, and MS Computer Science).
  • [July 2020] I started as an Software Development Engineer at Amazon.com Incorporated.
  • [May 2020] I defended my thesis with Prof. Heni Ben Amor and Dr. Renaud Detry as my committee and completed my BS in Computer Science with minors in Economics and Statistics from Arizona State University.
  • [August 2019] I completed my internship as a Software Development Engineer Intern at Amazon.com Incorporated and received a return offer for a full-time position as a Software Development Engineer.
  • [June 2019] I started as an Software Development Engineer Intern at Amazon.com Incorporated.
  • [May 2019] I started as a research assistant at the Robotics, Embedded Autonomy & Communication Theory Lab at Arizona State University with Prof. Stephanie Gil as my advisor.
  • [April 2019] I received two SDE internship offers (Amazon.com Incorporated and Barclays).
  • [August 2018] I started as a research assistant at the Interactive Robotics Lab at Arizona State University with Prof. Heni Ben Amor my advisor and co-advised by Dr. Renaud Detry from NASA Jet Propulsion Lab.