His research focuses on manipulation, with the goal of enabling robots to robustly and gracefully interact with the world to perform complex manipulation tasks in uncertain, unstructured, and cluttered environments. His current research focuses on physics-based nonprehensile manipulation for reconfiguring clutter, functional gradient methods for motion planning, and formalizing HRI principles using machine learning, motion planning and optimization algorithms. Sidd is a recipient of the HRI Best Paper Award (2010), ONR Young Investigator Award (2012), Okawa Research Award (2012), and a best-paper finalist at RSS (2012, 2013), IEEE ICRA (2009, 2010, 2012), IEEE IROS (2010), and RO-MAN (2012). Sidd also captains the CMU squash team, and dreams of running ultra-marathons.