Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.
Abbas SadatSergio CasasMengye RenXinyu WuPranaab DhawanRaquel UrtasunPublished in: ECCV (23) (2020)
Keyphrases
- motion planning
- semantic representations
- degrees of freedom
- natural language understanding
- semantic representation
- mobile robot
- path planning
- trajectory planning
- humanoid robot
- robotic tasks
- semantic features
- semantic matching
- semantic similarity
- configuration space
- semantic space
- multi robot
- collision free
- pose estimation