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About

Robert Baruch is a leading researcher at the intersection of robotics, natural language processing, and human-robot interaction. His work focuses on enabling robots to understand and execute complex, real-time instructions through interactive language, bridging the gap between high-level reasoning and physical action. Baruch’s major contributions include the development of frameworks for building natural language-instructable robots, as demonstrated in his highly cited 2024 paper “Interactive Language: Talking to Robots in Real Time” (81 citations), which introduced open-source datasets, environments, and policies trained via behavioral cloning on hundreds of thousands of language-annotated trajectories. He also pioneered scalable data collection methods for long-horizon reasoning in robotics with his work on RoboVQA (34 citations), achieving 2.2x higher throughput than traditional approaches. Baruch contributed to the low-cost, high-performance ALOHA 2 hardware for bimanual teleoperation and co-authored the landmark Gemini Robotics report (2025), which outlines AI models purpose-built for physical agents. His research has been instrumental in advancing real-world, interactive robotic systems, with cumulative citations exceeding 150.