Mohan Sridharan
Location: (Lubbock, Texas)
Personal Research Web Page: http://www.cs.ttu.edu/~smohan/
Keywords: Robot vision, stochastic machine learning, human-robot/human-computer interaction, multiagent systems and applied cognitive science.
Posted on: Monday, May 16th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Social Computing / Social Informatics
Research Interests:
My research primarily focuses on enabling synergetic autonomy in human-robot interactions in dynamic real-world application domains such as elderly care and surveillance. Each robot operates autonomously as far as possible, using algorithms to: learn environmental models based on sensory inputs; adapt the learned models in response to environmental changes; tailor sensing and information processing to the task at hand; and robustly merge the information obtained from teammates. At the same time, the robot acquires and fully utilizes limited high-level information from humans through a variety of interaction modalities, e.g., vision, natural language and touch-screen visual displays.
I am also interested in designing and adapting Bayesian reasoning algorithms to address real-world challenges characterized by a significant amount of uncertainty. Some (current) examples of applications are: medical data processing, HRI/HCI interface design, and adaptive learning technologies for training teachers and promoting learning among students with disabilities.
