Research
I am currently pursuing a Ph.D. in Computer Science at Purdue University, where I am working under the guidance of Suresh Jagannathan. My research goal is to provide safe and programmable learning frameworks for AI and robotics.
Background
News
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Alert! A large set of malicious behaviors can be injected and triggered by slightly perturbing the neural path planner’s input. Check out our latest work on backdoor attacks on neural path planners.
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Jan 29, 2024: DSCRL got accepted by ICRA 24'
Want to effectively harness learning-based navigation and control tasks with programmable logic specifications? Check out Differentiable Specification Constrained Reinforcement Learning (DSCRL), a logic-constrained, map-adaptive co-learning framework for navigation/planning and control.
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Two patents filed with Baidu are published! Congrats to the colleagues at Baidu!
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May 23, 2023: Submitted a Paper about Programmable Backdoor Attack
Our formalization allows an attacker to precisely characterize the behavior they intend the planner to execute.
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Our framework uses formal signal temporal logic’s differentiability for sample-efficient constrained reinforcement learning. See all trained agents here.