Lars Asplund

About

Lars Asplund is a leading researcher at the intersection of robotics, human-robot interaction, and computer vision, with a particular focus on making industrial automation accessible to small and medium-sized enterprises. His most significant contribution lies in developing intuitive programming interfaces that dramatically reduce the cost and complexity of reprogramming industrial robots—a critical barrier for SMEs with frequently changing production lines. Asplund pioneered the use of incremental multimodal language combined with augmented reality for robot programming, enabling operators to interact with machines through natural speech, gestures, and spatial language rather than traditional code. His work on the GIMME platform advanced reconfigurable stereo-vision systems using FPGA hardware for real-time image processing, while his research on stereo vision-based navigation provided robust localization and mapping strategies for autonomous industrial vehicles. With over 150 citations across his most influential papers, Asplund’s work on multimodal interaction, gesture recognition using evolution strategy neural networks, and natural language interfaces for assembly tasks has been foundational in bridging the gap between human intuition and robotic precision. His contributions continue to shape the future of flexible, user-friendly automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Intuitive industrial robot programming through incremental multimodal language and augmented reality

   68 citations · 2011
2. 2
   Multi-level project work; a study in collaboration

   16 citations · 2002
3. 3
   GIMME - A General Image Multiview Manipulation Engine

   15 citations · 2011
4. 4
   A general framework for incremental processing of multimodal inputs

   12 citations · 2011
5. 5
   Two camera system for robot applications; navigation

   11 citations · 2008
6. 6
   Stereo vision based navigation for automated vehicles in industry

   10 citations · 2009
7. 7
   Object selection using a spatial language for flexible assembly

   9 citations · 2009
8. 8
   Interacting with industrial robots through a multi-modal language and sensory systems

   8 citations · 2008
9. 9
   Gesture recognition using evolution strategy neural network

   5 citations · 2008
10. 10
    Validation of stereo matching for robot navigation

    4 citations · 2009

Key Collaborators

Contact & Links