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 heavily cluttered, requiring robots to plan over multiple steps, act, and replan as they work toward a goal. We present CLARO (CLutter-Aware...
Sungsu Kim, Vineet Bhat, P. Krishnamurthy et al.· 0 citations
Reasoning across videos requires aligning events, matching identities, comparing motion, and integrating partial observations. Evaluating these capabilities and testing how to improve them requires both reliable labels and targeted supervision. We introduce SYNCR, a simulator-grounded framework that connects these two...
Sara Ghazanfari, Siddharth Garg, P. Krishnamurthy et al.· 0 citations
CTF-ABACUS is introduced, a trace-based agent auditing framework that reconstructs each run as an evidence-grounded solve profile that provides a basis for designing benchmarks that better isolate the offensive capabilities of autonomous language-model agents.
Kimberly Milner, Ming-Hao Shao, Nanda Rani et al.· 2 citations
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