My main research interest is focused around motion planning for robots in dynamic environments. I am trying to improve robustness and computational cost of motion planning by exploiting abstract representations of the robot’s pose that capture the interaction between the robot and its environment.

I am using tools and ideas from fields of Optimal Control, Probability Theory, and Topology. In my work I apply ideas from the field of topology to problems in robotics.

I am also interested in computer graphics, animation and visualisation in relation with robot simulation and computer games.


  • Leopoldo Armesto, Jorren Bosga, Vladimir Ivan, Sethu Vijayakumar. Efficient Learning of Constraints and Generic Null Space Policies. Proc. of ICRA. 2017

  • Yiming Yang, Vladimir Ivan, Zhibin Li, Maurice Fallon and Sethu Vijayakumar. iDRM: Humanoid Motion Planning with Realtime End–Pose Selection in Complex Environments. Proc. of Humanoids. 2016 [pdf][bib]

  • Yiming Yang, Vladimir Ivan, Wolfgang Merkt and Sethu Vijayakumar. Scaling Sampling–based Motion Planning to Humanoid Robots. Proc. of ROBIO. 2016 [pdf][bib]

  • Vladimir Ivan and Sethu Vijayakumar. Space-time Area Coverage Control for Robot Motion Synthesis. Proc. of ICAR. 2015 [pdf][bib]

  • Karl Pauwels, Vladimir Ivan, Eduardo Ros, Sethu Vijayakumar. Dexterous Reaching, Real-time Object Pose Recognition and Tracking with an Imprecisely Calibrated Moving RGB-D Camera. Proc. of IROS. 2014. [pdf][bib]

  • Karl Pauwels, Leonardo Rubio, Vladimir Ivan, Sethu Vijayakumar and Eduardo Ros. Real-time RGB-D-based Object and Manipulator Pose Estimation. Workshop on RGB-D: Advanced Reasoning with Depth Cameras in conjunction with IROS. 2014. [pdf][bib]

  • Peter Sandilands, Vladimir Ivan, Taku Komura and Sethu Vijayakumar. Dexterous Reaching, Grasp Transfer and Planning Using Electrostatic Representations. Proc. of Humanoids. 2013 [pdf][bib]

  • Vladimir Ivan, Dmitri Zarubin, Marc Toussaint, Taku Komura and Sethu Vijayakumar. Topology-based Representations for Motion Planning and Generalisation in Dynamic Environments with Interactions. IJRR. 2013 [pdf][bib]

  • Ángel Llamazares, Vladimir Ivan, Eduardo Molinos, Manuel Ocaña and Sethu Vijayakumar. Dynamic Obstacle Avoidance Using Bayesian Occupancy Filter and Approximate Inference. Sensors. 2013; 13(3):2929-2944. 2013 [pdf][bib]

  • Ángel Llamazares, Vladimir Ivan, Manuel Ocaña and Sethu Vijayakumar. Dynamic obstacle avoidance minimizing energy consumption. Intelligent Vehicles Workshop on Perception in Robotics. 2012 [pdf][bib]

  • Dmitri Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura and Sethu Vijayakumar. Hierarchical Motion Planning in Topological Representations. Proc. of RSS. 2012 [pdf][bib]


University of Edinburgh, School of Informatics

Institute of Perception, Action and Behaviour