Search Results - "Marek Fišer"

1 - 19 of 19 Refine Results
1 - 19 of 19
  1. 1
    “…We address the problem of animated character motion representation and approximation by introducing a novel form of motion expression in a function space. For…”
    Journal Article
    Availability:
    Help
  2. 2
    by Fišer, Marek, Kykal, Tomáš
    Published in Soudobé dějiny (01. 01. 2024)
    “…Developments in information technology and artificial intelligence are providing tools that have considerable potential to facilitate and enrich research in…”
    Journal Article
    Availability:
    Help
  3. 3
  4. 4
    Availability:
    Help
    Fulltext is freely available:
  5. 5
    Availability:
    Help
    Fulltext is freely available:
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
    “…Learned Neural Network based policies have shown promising results for robot navigation. However, most of these approaches fall short of being used on a real…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  13. 13
  14. 14
    “…We learn end-to-end point-to-point and path-following navigation behaviors that avoid moving obstacles. These policies receive noisy lidar observations and…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  15. 15
    “…This paper addresses two challenges facing sampling-based kinodynamic motion planning: a way to identify good candidate states for local transitions and the…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  16. 16
    “…What is a good visual representation for autonomous agents? We address this question in the context of semantic visual navigation, which is the problem of a…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  17. 17
    “…Long-range indoor navigation requires guiding robots with noisy sensors and controls through cluttered environments along paths that span a variety of…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  18. 18
    “…We present PRM-RL, a hierarchical method for long-range navigation task completion that combines sampling based path planning with reinforcement learning (RL)…”
    Paper
    Availability:
    Help
    Fulltext is freely available:
  19. 19
    “…Understanding and following directions provided by humans can enable robots to navigate effectively in unknown situations. We present FollowNet, an end-to-end…”
    Paper
    Availability:
    Help
    Fulltext is freely available: