K Namasivayam

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About

Karthik Namasivayam is a rising researcher at the intersection of robotics, artificial intelligence, and neuro-symbolic reasoning. His work focuses on enabling robots to understand natural language instructions and autonomously execute complex manipulation tasks, bridging the gap between high-level human commands and low-level motor control. His most cited paper, "Learning Neuro-symbolic Programs for Language Guided Robot Manipulation" (2023, 9 citations), pioneers a method that combines neural perception with symbolic program synthesis, allowing robots to generalize beyond pre-defined concepts—a critical step toward flexible, real-world deployment. Building on this, his follow-up work, "Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach" (2024), addresses a fundamental challenge in autonomous robotics: detecting and recovering from failures without explicit state representations. By integrating error detection directly into the neuro-symbolic planning loop, Namasivayam is advancing the robustness of robotic systems. Though early in his career, his contributions are already shaping how robots can learn, plan, and adapt in dynamic environments, promising more resilient and intelligent autonomous agents.