Robot Body Language

BSc./MSc. Student Assignment Robot Rose

Enabling robot integration into the care environment, the presence of the robot and the way it behaves influence its ultimate acceptance into practice. For this reason, insights must be gained from nurses and clients with respect to the robot design and its behaviour. Following, ‘natural’ robot body language must be established that ‘feels’ natural to the observer. This includes features such as the robot looking at you if you are talking to it. Within the cultural context of KKH, robot body language should be defined and implemented on the robot in context with its rounding activities across the KKH wards.

Project output:
  • Indexation of nurses and client opinions w.r.t. robot looks and behaviour
  • Definition of body language in relation to tasks and sensory inputs
  • Implementation of body language and re-indexation of nurses and client opinions
Required:
  • Excitement about new technologies, eager to work on state-of-the-art technologies;
  • Independence, research appetite, enthusiastic, self-critical;
  • Sense of responsibility, duty fulfillment;
  • Eager to work in an international environment, team-player, collaborate with multiple institutions and companies, determined to dedicate time in the project, able to set priorities;
  • Basic understanding of math and programming (C++, Python, Matlab);
  • Familiarity with the Robot Operating System (ROS).
Nice to have:
  • Basic understanding of machine and deep learning, neural networks, optimization techniques (gradient descent, mini-batch gradient descent);
  • Basic understanding and/or experience with computer vision techniques (object recognition, feature detection, image classification etc.);
  • Experience with deep learning frameworks (Caffe, CMTK, Tensorflow, Pytorch, Theano, etc.) would be highly appreciated;
  • Hardware and software skills (experience with NVIDIA Cuda, Jetson, etc.).