Pulkit Agrawal
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology
About Professor Pulkit Agrawal
Pulkit Agrawal serves as an Associate Professor at the Massachusetts Institute of Technology, a global leader in technological innovation. He is a core member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), one of the world's most prestigious and influential research environments. MIT CSAIL is internationally renowned for its interdisciplinary approach and pioneering work in artificial intelligence and machine learning. The laboratory provides a collaborative ecosystem where world-class researchers address the most pressing challenges in computational science. This academic setting is respected for fostering breakthroughs that redefine industry standards, making it a hub for top-tier academic excellence and transformative engineering solutions.
🧬Research Focus
At the core of Professor Agrawal's work is the development of autonomous systems capable of navigating complex, real-world environments with human-like adaptability. His research integrates computer vision and reinforcement learning to enhance robot decision-making and dexterous manipulation. By focusing on sim-to-real transfer and multimodal robotic platforms, his lab bridges the gap between simulated learning and physical execution. These innovations have profound implications for scientific discovery and industrial automation, pushing the boundaries of how machines interact with the physical world. His research contributes significantly to the field of robotics by building robust, intelligent agents that can learn from experience and sensory feedback.
🎓Student Fit & Career
Highly motivated PhD students with strong backgrounds in computer science, mathematics, and robotics will find an ideal environment for graduate research under Professor Agrawal’s supervision. Ideal candidates possess a drive for creative problem-solving and a passion for developing intelligent systems that bridge theory and practice. The lab values collaborative thinkers who are eager to engage in interdisciplinary projects and large-scale learning. Through dedicated academic mentorship, students are prepared for leadership roles in both academia and the global technology industry. Graduates from this program are well-equipped to pursue careers in cutting-edge AI research, autonomous vehicle development, and advanced manufacturing.
Research Areas
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Be ready to talk concrete projects — bring a short demo or video if you have one. Expect questions about real-world robustness and sim-to-real tradeoffs; show you’ve thought about failure modes.
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