Professor Ingmar Posner
Ingmar leads the perception and planning work within the Mobile Robotics Group (MRG). His expertise lies in the design and implementation of machine learning methods that enable an autonomous agent to interpret complex, dynamic environments in a way which permits robust decision-making, planning and exploration on-line and in real-time.
His research tackles questions such as: what semantic information can be inferred about the environment the robot has traversed (e.g. what type of structures and objects can be found? What type of terrain is it travelling on?) and how this knowledge can feed into the decision-making process of an autonomous agent.
His group’s work finds application for example in the Oxford RobotCar project as well as in the LUTZ and UK Autodrive autonomous pods soon to be trialled in Milton Keynes.
Professor Ingmar Posner
Ingmar leads the perception and planning work within the Mobile Robotics Group (MRG). His expertise lies in the design and implementation of machine learning methods that enable an autonomous agent to interpret complex, dynamic environments in a way which permits robust decision-making, planning and exploration on-line and in real-time.
His research tackles questions such as: what semantic information can be inferred about the environment the robot has traversed (e.g. what type of structures and objects can be found? What type of terrain is it travelling on?) and how this knowledge can feed into the decision-making process of an autonomous agent.
His group’s work finds application for example in the Oxford RobotCar project as well as in the LUTZ and UK Autodrive autonomous pods soon to be trialled in Milton Keynes.