Shivam Bajaj
Computer Science · Purdue University West Lafayette
Publications
23
Citations
46
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2016
Shivam Bajaj works on control theory and robotics, with a focus on how autonomous vehicles and multi-agent systems can plan trajectories, defend territory, or make decisions in competitive or uncertain settings. Much of the work involves mathematical analysis of pursuit-evasion games, perimeter defense strategies, and optimal control problems, as well as data-driven methods for learning control policies in linear systems. This research is largely theoretical, using tools from optimization, game theory, and control systems to establish guarantees about vehicle or system behavior.
Publication output has grown from essentially none in the late 2010s to a steady pace of 3-5 publications per year since 2023, indicating an active and slightly increasing research output in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Time-Optimal Trajectory of a Dubins Vehicle With a Controllable Laser
IEEE Transactions on Automatic Control · 2026
- Comparison of Non-Deterministic Nonlinear Systems
arXiv (Cornell University) · 2026
- Comparison of Non-Deterministic Nonlinear Systems
arXiv (Cornell University) · 2026
- Competitive perimeter defense in linear environments
Theoretical Computer Science · 2025
- Online Model Order Reduction of Linear Systems via $(γ,δ)$-Similarity
ArXiv.org · 2025
- Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control
arXiv (Cornell University) · 2025
- Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
arXiv (Cornell University) · 2025
- Multivehicle Perimeter Defense in Conical Environments
IEEE Transactions on Robotics · 2024
- Rationality of Learning Algorithms in Repeated Normal-Form Games
IEEE Control Systems Letters · 2024
- Shortest Trajectory of a Dubins Vehicle with a Controllable Laser
arXiv (Cornell University) · 2024
- Rationality of Learning Algorithms in Repeated Normal-Form Games
arXiv (Cornell University) · 2024
- Randomized Competitive Perimeter Defense on a Line
IEEE Control Systems Letters · 2024
- Competitive perimeter defense with a turret and a mobile vehicle
Frontiers in Control Engineering · 2023
- Perimeter Defense Using a Turret with Finite Range and Startup Time
2023
- Perimeter Defense using a Turret with Finite Range and Service Times
arXiv (Cornell University) · 2023
- arXiv (Cornell University)×8
- IEEE Control Systems Letters×2
- IEEE Transactions on Robotics×1
- Frontiers in Control Engineering×1
- Theoretical Computer Science×1
- Ming Shi
Computer Science · The Ohio State University
- Shai Vardi
Computer Science · Purdue University West Lafayette
- Ayush Rai
Computer Science · Purdue University West Lafayette
- Ryan K. Williams
Computer Science · Purdue University West Lafayette
- Lantao Liu
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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