activity
20152026
most citedSafe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions

47 citations · 169 across the 85 of their papers we have counts for

collaborators

91 papers

cs.RO2026

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…

cs.CV2026

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…

cs.CR2026

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…

eess.SY2026

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…

eess.SY2026

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embedded devices/controllers can have vulnerabilities stemming from multiple sources such as weak security practices, outdated libr…

cs.RO2026

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…