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School of Computing Science and Engineering

Autonomous Systems and Robotics

The Centre for Autonomous Systems and Robotics at Salford is one of the largest robotics groups in UK. The Centre, which is site of the UK’s National Advanced Robotics Research Centre, is renowned for fostering interdisciplinary activities both in academic research and within  projects  stemming from collaborations with partners among the major players in different industries.

Over the years, we have gained a two-fold advantage: robust technical know-how within individual research areas, and a uniquely wide perspective of the application of different technology based on robotics and automation in several industries, which, in turn, is extremely beneficial from a system integration standpoint.

Facilities and equipment

Our well-equipped laboratories include many of the technologies found within industry. Students and researchers are able to gain experience working with sensors, actuators and a range of control systems.  These include:

  • over 500 m2 of facilities structured in 5 laboratories, including a Living Lab and a room equipped with a world class virtual environment facility (OCTAVE);
  • infrastructure supporting research in robotics, automation, and in several other fields, such as, machine learning, computer vision, and medical informatics;
  • equipment, including 6 industrial robot arms, tracking systems, haptic devices, and exoskeletons;
  • a staff of more than 15 full-time researchers and teachers, including 6 senior researchers and 10 Ph.D. students, and more than 20 students who are engaged in Master and Doctorate programs every year
Industrial robots

Our facilities contain industrial robot arms, including the ABB Flexpicker, a six jointed Nachi arm and a human scale CRS robot. The labs also house conveyor belt systems which enable students to gain experience of programming and operating systems they are likely to experience in industry.

Mobile robots

The robotics department has a number of NAO miniature humanoid robots. These enable students to develop algorithms to allow the robots to walk, and provide an excellent basis for experiments with cognition and signal processing. We also have a number of mobile robot platforms, which feature both wheels and legs.