Motion planning : probabilistic approaches

The seminar by J.C. Latombe introduces the notion of probabilistic completeness, develops the associated algorithms and illustrates their performance.

Motion planning : probabilistic approaches

Speaker(s)

Jean-Claude Latombe

Events

50 years of robotics research.…

Fast parallel robots

40 years of research into autonomous robotics.…

Deliberate action : planning and learning in robotics

Towards an anthropomorphic action theory.…

Simplexity and complexity : concepts common to the brain and robots ?

Rolling, flying. Mobile robotics and non-holonomy : the complexity of parking your car

From insects to aerial robots

Motion, computation and determinism. Motion planning : deterministic approaches

Motion planning : probabilistic approaches

Manipulation geometries. Planning manipulation tasks

The physical basis of the sense of touch

Derivatives of motion. Two open mathematical problems in mobile robotics

Motion derivatives

The body and its structure. Human and humanoid locomotion : computational foundations

How does the body shape the way we think ?

Robotics and innovation : two case studies. The value of motion in virtual prototyping

Development strategies for humanoid robotics

Anatomy of a humanoid robot : an object lesson

See also