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Sacha Morris

Lecturer in Robotics Education

Research interests

  • Engineering

Biography

Sacha Morris is a Lecturer in Robotics Education on the Academic Education Pathway (AEP) in the Department of Engineering at King’s College London, where he teaches across robotics, control, and mechatronics, and project-based learning.

He has received multiple teaching award nominations and was part of the team recognised with a Collaborative Award for Teaching Excellence (CATE) in 2025, reflecting his commitment to innovative and student-centred engineering education. His doctoral research at King’s College London focuses on adaptive impedance control and soil–robot interaction, with applications to robotic manipulation and locomotion in complex environments. His work investigates the modelling and control of compliant actuators, estimation-based approaches for surface property classification, and the integration of learning-based methods for adaptive robotic behaviour.

Sacha holds a BEng in Electronic Engineering from King’s College London, graduating with first-class honours. He is actively involved in mentoring and outreach activities aimed at inspiring underrepresented groups to pursue careers in STEM.

Research Interests

  • Adaptive and variable impedance control for robotic systems
  • Modelling and control of soil–robot interactions and granular media
  • Compliant actuators and interaction control in uncertain environments
  • Estimation and classification of surface properties for manipulation and locomotion
  • Learning-based approaches for adaptive robotic behaviour

Further details

See Sacha's research profile

    Research

    kickstarter-robot-image
    Design & Mechatronics

    Fusing mechanical, electrical and control engineering.

    1908x558_microphone
    Signals & Control

    Applying signal processing and control to generate adaptive intelligent systems.

    networking
    Data-Centric Engineering

    Applying machine learning to engineering challenges

    News

    King's Engineering Team win national education excellence award

    The multi-disciplinary team of academics, technicians and students have been awarded a Collaborative Award for Teaching Excellence.

    CATE Awards 2

      Research

      kickstarter-robot-image
      Design & Mechatronics

      Fusing mechanical, electrical and control engineering.

      1908x558_microphone
      Signals & Control

      Applying signal processing and control to generate adaptive intelligent systems.

      networking
      Data-Centric Engineering

      Applying machine learning to engineering challenges

      News

      King's Engineering Team win national education excellence award

      The multi-disciplinary team of academics, technicians and students have been awarded a Collaborative Award for Teaching Excellence.

      CATE Awards 2