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Koushil Sreenath

Mechanical Engineering

University of California Berkeley

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About Professor Koushil Sreenath

The University of California, Berkeley, stands as a global leader in higher education, with its Department of Mechanical Engineering consistently ranked among the top programs worldwide. Renowned for its rigorous academic environment and pioneering spirit, the department fosters an atmosphere where groundbreaking research meets practical application. At Berkeley, mechanical engineering transcends traditional boundaries, integrating multidisciplinary approaches to solve complex societal challenges. This prestigious institution provides a fertile ground for innovation, supported by state-of-the-art facilities and a collaborative culture that attracts top-tier scholars. As a hub for engineering excellence, the department excels in advancing the frontiers of robotics and control systems.

🧬Research Focus

Professor Koushil Sreenath leads the Hybrid Robotics Lab, focusing on the intersection of nonlinear control and hybrid dynamical systems. His research explores the complexities of underactuated systems, aiming to achieve agile and robust locomotion in bipedal and quadrupedal robots. By unifying analytical physics-based modeling with advanced reinforcement learning for control, his work addresses the challenges of dynamic bipedal walking and aerial manipulation. This research is vital for developing safety-critical model predictive control frameworks that ensure reliability in uncertain, real-world environments. These innovations in dynamic locomotion and iterative optimization are essential for the next generation of autonomous systems capable of navigating complex terrains.

🎓Student Fit & Career

Prospective PhD students and those seeking graduate research opportunities will find a dynamic, high-impact environment under Professor Sreenath’s academic mentorship. Ideal candidates possess strong foundations in control theory, mathematics, and machine learning, coupled with a passion for hardware implementation and experimental validation. Students who thrive in this lab are often driven by a desire to bridge the gap between theoretical frameworks and physical robotic performance. Graduates from this research group are well-prepared for influential career paths in both academia and industry, where they can lead development in autonomous vehicles, advanced manufacturing, and robotics technology.

Research Areas

nonlinear controlhybrid systemslegged roboticsaerial roboticsunderactuated systemsdynamic locomotionsafety-critical controlreinforcement learning for control

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