CV
Basics
| Name | Varun Sreedhara Bhatt |
| vsbhatt@usc.edu | |
| Url | https://vbhatt-cs.github.io |
| Summary | PhD student at the University of Southern California working with Prof. Stefanos Nikolaidis. My main goal is to build robust and generalizable intelligent agents that work well alongside humans and other intelligent agents. Also excited about studying relevant theoretical frameworks such as quality diversity optimization, reinforcement learning, and game theory. |
Education
-
2021 - Present -
2018 - 2020 -
2014 - 2018
Publications
-
2025 Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies
Srikanth, S., Liang, F., Hsu, Y. C., Bhatt, V., Zhao, S., Chen, H., Tjanaka, B., Hwang, M., Saran, A., Seita, D., Tabrez, A., Nikolaidis, S.
(under review)
-
2025 Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
Srikanth, S., Bhatt, V., Zhang, B., Hager, W., Lewis, C.M., Sycara, K.P., Tabrez, A., and Nikolaidis, S.
(under review)
-
2025 Improving Human-Robot Interaction via a Population of Synthetic Human-like Teams
Srikanth, S., Bhatt, V., Lewis, C.M., Sycara, K.P., Tabrez, A., and Nikolaidis, S.
Second Workshop on Generative Modeling Meets Human-Robot Interaction (GenAI-HRI) at Robotics: Science and Systems (RSS)
-
2025 QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps
Qian, C., Zhang, Y., Bhatt, V., Fontaine, M. C., Nikolaidis, S., and Li, J.
(under review)
-
2025 Systematic Generation of Diverse Teams for Improved Multi-Agent Collaboration
Hedayatian, S.*, Bhatt, V.*, Tjanaka, B., Lewis, C.M., Sycara, K.P., and Nikolaidis, S.
(under review)
-
2025 Efficient Quality Diversity Optimization with Monte Carlo Bayesian Sampling
Palmas, M., Bhatt, V., Zhao, S., Nikolaidis, S., Lange, R., and Klauck, M.
Poster at the Genetic and Evolutionary Computation Conference (GECCO)
-
2024 Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Zhang, Y., Jiang, H., Bhatt, V., Nikolaidis, S., and Li, J.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)
-
2023 Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Zhang, Y., Fontaine, M. C., Bhatt, V., Nikolaidis, S., and Li, J.
Advances in Neural Information Processing Systems (NeurIPS)
-
2023 Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Bhatt, V., Nemlekar, H., Fontaine, M.C., Tjanaka, B., Zhang, H., Hsu, Y. C., and Nikolaidis, S.
Proceedings of the Conference on Robot Learning (CoRL)
-
2023 Multi-Robot Coordination and Layout Design for Automated Warehousing
Zhang, Y., Fontaine, M. C., Bhatt, V., Nikolaidis, S., and Li, J.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)
-
2022 Deep Surrogate Assisted Generation of Environments
Bhatt, V.*, Tjanaka, B.*, Fontaine, M. C.*, and Nikolaidis, S.
Advances in Neural Information Processing Systems (NeurIPS)
-
2021 Inference-based Deterministic Messaging For Multi-Agent Communication
Bhatt, V. and Buro, M.
Proceedings of the 35th AAAI Conference on Artificial Intelligence
-
2021 An Analysis of Frame-skip in Reinforcement Learning
Kalyanakrishnan, S., Aravindan, S., Bagdawat, V., Bhatt, V., Goka, H., Gupta, A., Krishna, K., and Piratla, V.
arXiv preprint arXiv:2102.03718
-
2020 Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
Bhatt, V., Shrivastava, S., Chavan, T., and Ganguly, U.
Proceedings of the International Joint Conference on Neural Networks (IJCNN)
-
2018 Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks
Bhatt, V., and Ganguly, U.
Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN)
Work
- 09/20 - 08/21
Research Assistant
University of Alberta, Canada
Worked on modeling human behavior in strategic games. Collected human behaviour data using Amazon Mechanical Turk and analyzed it through behavioural game theory models.
- 05/17 - 07/17
Intern
Samsung Electronics, South Korea
Created a prototype for a smart home monitoring system using anomaly detection.
- 05/16 - 07/16
Intern
Philips, India
Developed a framework to automatically generate lip-sync animations and emotions in a 3D avatar given a text to speak, as a part of a virtual chatbot.
Teaching Assistantship
-
Spring 2024 Spring 2025 Deep Learning and its Applications
University of Southern California
-
Fall 2023 Introduction to Robotics
University of Southern California
-
Winter 2020 Intelligent Agents
University of Alberta
-
2019 - 2020 Reinforcement Learning Specialization
University of Alberta on Coursera
-
Fall 2019 Winter 2019 Fall 2018 Introduction to the Foundations of Computation
University of Alberta
-
Autumn 2016 Partial Differential Equations
Indian Institute of Technology Bombay
Talks
-
2025 -
2024 Generating Scenarios with Surrogate Models
USC Summer Robotics Seminar Series
-
2024 Quality Diversity Scenario Generation for Robust Intelligent Agents
USC Theta Tau Professor Research Event (on behalf of the ICAROS Lab)
-
2023 Environment Generation for Generalizable Robots
EGG workshop at RSS 2023
-
2019 Training Multiple Intelligent Agents to Communicate
Tea Time Talks 2019, Department of Computing Science, University of Alberta
-
2018 The StarCraft 2 ML Environment
AIIDE-18 Workshop on Artificial Intelligence for Strategy Games (joint talk with Arta Seify)
Outreach
-
2025 Demonstrated the work on diverse collaborative LLM agents at RSS 2025 and to DARPA.
-
2024 Demonstrated robot research on behalf of the ICAROS Lab at the USC Ginsburg Hall ribbon ceremony.
-
2024 Represented ICAROS Lab in the Robotics Open House 2024, showing robot demos to K-12 students.
-
2023 Led the organization of the first workshop on Environment Generation for Generalizable Robots (EGG) at RSS 2023.
-
Conference/Journal Reviews GECCO 2023 EGG workshop at RSS 2023 ALOE workshop at NeurIPS 2023 HRI 2024 GECCO 2024 TEVC-IEEE ISRR 2024 ICRA 2025 GECCO 2025 RSS 2025 RSS Pioneers 2025 RA-L 2025 NeurIPS 2025 (Top Reviewer) AAAI 2026 ICRA 2026
Skills
| Programming Languages | |
| Python | |
| C/C++ |
| Libraries | |
| PyTorch | |
| TensorFlow | |
| NumPy | |
| Pandas | |
| Jax | |
| ROS | |
| Isaac Sim | |
| HuggingFace Transformers |