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Research team

Autonomous Mobile Manipulation Lab

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About this team

Team information

Contact

Todor Stoyanov

Research subject

  • Computer Science

Research environments

  • Centre for Applied Autonomous Sensor Systems (AASS)

At the AMM lab we strive to enable mobile robots to perform complex interaction with their environment. We perform research on perception and motion synthesis for mobility and manipulation.

Read more about the research team

Researchers

  • Johannes Andreas Stork
  • Todor Stoyanov
  • Da Sun
  • David Caceres Dominguez, PhD student
  • Dinh-Cuong Hoang, PhD student
  • Marco Iannotta, PhD student
  • Jean-Paul Ivan, PhD student
  • Finn Rietz, PhD student
  • Shih-Min Yang, PhD student
  • Quantao Yang, PhD student
  • Yuxuan Yang, PhD student

Research projects

Active projects

  • Dynamic Agile Production Robots That Learn and Optimise Knowledge and Operations (DARKO)
  • Predictive Modeling of Hydraulic Hoses for Underground Mining
  • Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models
  • TeamRob - Teams of Robots Working for and with Humans

Completed projects

  • Tracking and Control of Articulated Machines through Remote Sensing (TracMac)

Research funding bodies

  • EU Horizon 2020
  • The Knowledge Foundation
  • SIP/STRIM
  • Vinnova
  • Updated: 2019-12-20
  • Editor: Todor Stoyanov
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