As part of the THING and MEMMO projects we have 3 post-doc positions available across the research areas of dynamic locomotion:
- Motion Planning and Control: planning dynamic motions in challenge environments. The MEMMO project is about pre-computing high dimensional trajectories to improve thereactivity of (model predicative) control. job advert
- Tactile Estimation and Active Control: The THING project is about improving everything tactile and haptic during quadruped walking & contact – materials, sensing, control, planning and estimation. job advert
- Reconstruction and Mapping: building efficient reliable navigation systems to demonstrate quadrupeds doing inspection – fusing inertial sensing and vision. job advert
Feel free to contact Maurice or Ioannis for more information. We are making a major investment in walking robots in ORI including purchasing a copy of Anymal – an awesome quadruped robot from the RSL Lab in ETH. We will have lab space a new building in late 2018. Oxford is a wonderful place to live and work, come join us!
We’ve had some great success with our ICRA submissions this year. The following 4 papers will be presented in Brisbane in May:
- M. J. A. Zeestraten, I. Havoutis, and S. Calinon, ‘Programming by Demonstration for Shared Control with an Application in Teleoperation’. (also appearing in the RA-L Journal). pdf
- S. Nobili, G. Tinchev, and M. Fallon, ‘Predicting Alignment Risk to Prevent Localization Failure’. pdf. video
- C. Rauch, T. Hospedales, J. Shotton, and M. Fallon, ‘Visual Articulated Tracking in the Presence of Occlusions’. pdf. video
- R. Scona, M. Jaimez, Y. R. Petillot, M. Fallon, and D. Cremers, ‘StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments’. pdf. video
These works involve collaborations with IIT and IDIAP, the Cremers lab in TUM, Jamie Shotton at Microsoft Hololens.
We are excited to say that two EU Projects in the area of walking robots have been funded and will begin in 2018:
- MEMMO will be led by Nicolas Mansard from LAAS (Toulouse). It will involve motion planning for dynamic legged robots. Partners include MPI (L. Rigetti), Edinburgh (S. Vijayakumar), IDIAP (S. Calinon) as well as PAL Robotics and Wandercraft.
- THING will be led by Michael Mistry from University of Edinburgh. THING will develop technology and algorithms in all areas of physical contact – such as contact sensing, navigation with contact sensors and better footstep placement. Developments will be centred around the state-of-the-art quadruped ANYmal developed by the Robot Systems Lab in ETH Zurich.
DRS have the following papers appearing in IROS 2017:
- M Zeestraten, I Havoutis, S Calinon and D Caldwell, “Learning Task-Space Synergies Using Riemannian Geometry”.
- R Scona, S Nobili, Y Petillot, M Fallon, “Direct Visual SLAM Fusing Proprioception for a Humanoid Robot”.
Pre-prints can be downloaded from the publications page.