Emil Wiman

Emil Wiman

PhD-student in AI and Robotics

Research & Expertise

  • Autonomous 3D Exploration
  • Safe Motion Planning
  • Multi-Agent Exploration
  • Dynamic Obstacle Avoidance
  • Human-aware path planning
  • Predictive models for dynamic obstacles (Model-based and data-driven)
  • Learning system dynamics

Publications

See all Publications

PhD Coursework

  • Autonomous Systems, 6hp (WASP)
  • Becoming a Teacher in Higher Education, 6hp (DAL)
  • Ethical, Legal and Societal Aspects of AI and Autonomous Systems, 3hp (WASP)
  • The WASP Community Building Summer School 2024, 1,5hp (WASP)
  • Artificial Intelligence and Machine Learning, 6hp (WASP)
  • Research Education: How to Handle the New Challenges - The PhD-Student’s Performance Environment, 0,5hp (LiU)
  • Reinforcement Learning, 6hp (WASP)
  • Deep Learning, 6hp (WASP)
  • WASP Summer School on Rethinking and Rescaling LLMs 2025, 1,5hp (WASP)
  • WASP Project Course, 6hp (WASP)
  • Fundamentals for PhD Studies in Science and Engineering, 6hp (LiU)

Talks, Presentations & Travel

  • WARA-PS Demonstration Week. Sep, 2023.
  • AI-workshop at LiU. Presented my research for brazilian deligation. Nov, 2023.
  • WASP Winter Conference. Jan, 2024.
  • Linköping AI Fair. Participation as exhibitor. May, 2024.
  • ICRA24. Oral and Poster presentation for accpeted paper. May, 2024.
  • WARA-PS Data-Collection Week. May, 2024, Yokohama, Japan.
  • Presentation of Master Thesis for SAIS Master Thesis Award, SCAI. June, 2024.
  • WARA-PS Demonstration Week. Sep, 2024.
  • WASP Study Trip, Vancouver (ScanLine VFC (Netflix), CDM, UBC, Teledyne FLIR, EA RnD, Simon Fraser University). Sep, 2024.
  • AIICS Seminar about my research (Department level). Nov, 2024.
  • WASP Winter Conference. Jan, 2025.
  • WARA-PS Data-Collection Week. May, 2025.
  • WARA-PS Demonstration Week. Sep, 2025.
  • WASP Study Trip, Los Angeles (WinstonHill, USC, JPL, (NASA), UC Irvine, Syntiant Corp, UCLA, Caltech.). Sep, 2025.
  • IROS25. Oral and Poster presentation for accepted paper. Oct, 2025, Hangzhou, China.

Teaching

Courses

  • TDDD92, Artificial Intelligence - Project, TA
  • TDDE19 Advanced Project Course - AI and Machine Learning, TA
  • TDDE13 Multi-Agent Systems, TA
  • TDDD99 Professionalism for Engineers, TA
  • AI Academy
    • Sebastian: Turtlebot4 Point Cloud and 360 camera integration.
    • Axel: Prediction of pedestrian movement using Trajnet++ and Atlas benchmark.

Master Thesis Supervision

  • Sebastian Klasson, Line execution ordering of a coverage path planning algorithm for autonomous lawn mowers. Paused.
  • Lukas Moe, Multi-agent 3D exploration in dynamic environments, 2025.
  • William Jacobsson, Collision-free Neural Path Planning for Industrial Manipulator Robots, (Co-supervisor) 2025.

Awards

  • SAIS Master Thesis Award 2024 for Best Master Thesis.

Software, Tools & Programming Languages

  • ROS1
  • ROS2
  • Gazebo
  • C++
  • Python
  • PyTorch
  • Git
  • Docker
  • Linux