The robotics concentration within the School of AI aims at addressing the scientific and technological challenges permeating AI systems that involve interaction with the physical world. On one hand, this field is concerned with core principles of AI/ML systems governed by physical laws (e.g.,nonlinear systems, physical interactions etc.). This theme is relevant to understand physical phenomena that can have a large impact on our society (e.g., climate, biological interactions etc.). On the other hand, we seek to develop AI/ML models for intelligent robotic systems that can act and interact in the environment (e.g., robot manipulators, soft robotic systems etc.). Here, the challenges lie in the core areas of planning, perception, NLP, reasoning & knowledge, control necessary for physical robotic systems that display general-purpose intelligence, particularly in domains cohabited with people. Collectively, the aforementioned thrust aims at developing tools and applications aimed towards the realization of intelligent models and embodied systems capable of interacting with the physical world. The investigation is inherently multi-disciplinary in nature and assimilates tools from various disciples and traditional departments, hence aligns well with the vision of the School of AI.