47 citations · 172 across the 92 of their papers we have counts for
16 papers · 1 filter
CLARO: Clutter Aware Robot Orchestrator for Open-Vocabulary Grasping using VLM Agents
Sungsu Kim, Vineet Bhat, Prashanth Krishnamurthy +2
Robots that follow natural-language instructions unlock a wide range of autonomous applications in households, warehouses, and labs. Real-world environments are diverse and often h…
Event-Driven Safe Control of a Black-Box Balancing Wheel with Friction-Gated Actuation
Kanishka Harwani, Neha Navarkar, Aliasghar Arab +1
Commercial balancing wheels are closed systems: an internal controller keeps the board upright, and a rider steers by shifting weight and twisting the hips. We augment a one-wheel…
SYNCR: Diagnosing and Learning Cross-Video Reasoning from Simulation
Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy +1
Reasoning across videos requires aligning events, matching identities, comparing motion, and integrating partial observations. Evaluating these capabilities and testing how to impr…
How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation
Kimberly Milner, Minghao Shao, Nanda Rani +8
Capture-the-Flag (CTF) benchmarks are widely used to assess the offensive security capabilities of autonomous language-model agents. Evaluations rely on shallow binary judgments or…
Hölder Signed Distance: A Differentiable, Signed, Parallelizable Metric for Robotics
Felipe Bartelt, Ali Umut Kaypak, Anthony Tzes +3
Computing distances between sets is essential in robotic motion planning and control, where differentiable gradients enable real-time optimization. The Euclidean Signed Distance Fu…
Learning Robust Control Lyapunov Functions through Lipschitz Neural Networks
Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami
This work presents a novel framework for learning robust control Lyapunov functions and stabilizing controllers for nonlinear dynamical systems subject to additive disturbances upp…
Sandbox-Enabled Digital Twin for Cyber-Physical Systems
Meet Udeshi, Md Raz, Prashanth Krishnamurthy +2
Firmware/software in cyber-physical system (CPS) embedded devices/controllers can have vulnerabilities stemming from multiple sources such as weak security practices, outdated libr…
VANDERER: Map-Free Exploration using Future-Aware and Visual-Curiosity-Guided Diffusion Policy
Venkata Naren Devarakonda, Raktim Gautam Goswami, Prashanth Krishnamurthy +1
Mobile agents require efficient exploration strategies to map unseen environments and autonomously plan tasks. Traditional methods rely on generating occupancy maps and optimizing…
Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks
Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1
Visual world models have shown great potential in learning complex system dynamics. Recent advancements leverage these models as transition functions within Model Predictive Contro…
Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation
Alireza Sarmadi, Virinchi Roy Surabhi, Prashanth Krishnamurthy +3
Deep neural networks (DNNs) are used in a variety of real-world applications including, for example, image classification and speech recognition. The inference accuracy of DNN impl…
SYNCR: A Cross-Video Reasoning Benchmark with Synthetic Grounding
Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy +1
Multimodal Large Language Models (MLLMs) have made rapid progress in single-video understanding, yet their ability to reason across multiple independent video streams remains poorl…
A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning
Ali Umut Kaypak, Prashanth Krishnamurthy, Farshad Khorrami
Ensuring safety under unknown and stochastic dynamics remains a significant challenge in reinforcement learning (RL). In this paper, we propose a model predictive control (MPC)-bas…
RESCORE: LLM-Driven Simulation Recovery in Control Systems Research Papers
Vineet Bhat, Shiqing Wei, Ali Umut Kaypak +3
Reconstructing numerical simulations from control systems research papers is often hindered by underspecified parameters and ambiguous implementation details. We define the task of…
AI In Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational Outcomes
Haoran Xi, Minghao Shao, Kimberly Milner +11
Large language models are rapidly changing how learners acquire and demonstrate cybersecurity skills. However, when human--AI collaboration is allowed, educators still lack validat…
Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries
Md Raz, Venkata Sai Charan Putrevu, Meet Udeshi +3
AI-powered malware increasingly exploits cloud-hosted generative-AI services and large language models (LLMs) as analysis engines for reconnaissance and code generation. Simultaneo…
CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
Nanda Rani, Kimberly Milner, Minghao Shao +9
Existing benchmarks for LLM-based offensive security agents use isolated, single-target setups with a known vulnerable service and fixed objective. They measure exploitation effect…