Ingmar Posner (Oxford University) is the Deputy Director of the Oxford Robotics Institute and head of the Applied Artificial Intelligence Lab at Oxford University. He has a significant track record in designing machine learning approaches (shallow and deep) for deployment on robots acting in the real world. His research is guided by his vision to create machines which constantly improve through use in their dedicated workspace by implicitly leveraging expert demonstrations in a manner entirely transparent to the user. Ingmar has coauthored over 60 research publications and is the recipient of a number of best paper awards. In 2014 Ingmar co-founded Oxbotica, a leading provider of mobile autonomy software solutions.
Raia Hadsell (DeepMind) leads a research group at DeepMind that focuses on deep reinforcement learning and robotics, with a particular interest in addressing the challenges of real-world and lifelong learning. Her recent work has proposed new deep RL methods for navigating in complex environments and preventing catastrophic forgetting.
Martin Riedmiller (DeepMind) has been working for over 20 years in the area of neural reinforcement learning for closed loop control of general dynamical systems. He has a particular interest in data-efficient learning from scratch, as it is a crucial ability to make learning agents work on real world systems. Martin held several positions as a university professor for neuroinformatics and machine learning at the universities of Dortmund, Osnabrück and Freiburg since 2002. He joined DeepMind in 2013 for a sabbatical and for a fulltime position in 2015.
Markus Wulfmeier (Oxford University) is a final year PhD candidate at the Oxford Robotics Institute as well as a member of Oxford University's New College. Currently, he is a visiting scholar with the UC Berkeley Robot Learning Lab. The focus of Markus’ research is the development of approaches for increasing the efficiency of processes for providing supervision to guide autonomous systems with particular emphasis on transfer learning and learning from demonstration, work which was awarded as Best Student Paper award at IROS16. Being in the field of robotics since 2010, Markus has been part of research efforts at various research institutions including MIT, ETHZ and the University of Oxford.
Rohan Paul (MIT) is a Postdoctoral Associate at the Robust Robotics Group at CSAIL, MIT. His doctoral research contribute to appearance-based topological mapping and life-long learning. His recent work focuses on grounding natural language instructions and concept acquisition from language and vision; aimed towards capable service robots that interact seamlessly with humans. His work has received Best Paper awards/nominations at leading robotics conferences: RSS ’16, IROS ’13 and ICRA ’10.