Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search
Path planning in robotics often requires finding high-quality solutions to continuously valued and/or high-dimensional problems. These problems are challenging and most planning algorithms instead solve simplified approximations. Popular approximations include graphs and random samples, as used by i...
Asıl Yazarlar: | Gammell, JD, Barfoot, TD, Srinivasa, SS |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
SAGE Publications
2020
|
Benzer Materyaller
-
Informed sampling for asymptotically optimal path planning
Yazar:: Gammell, J, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Adaptively Informed Trees (AIT*): fast asymptotically optimal path planning through adaptive heuristics
Yazar:: Strub, MP, ve diğerleri
Baskı/Yayın Bilgisi: (2020) -
Task and motion informed trees (TMIT*): Almost-surely asymptotically optimal integrated task and motion planning
Yazar:: Thomason, W, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Anytime information theory
Yazar:: Sahai, Anant
Baskı/Yayın Bilgisi: (2005) -
Library information anytime anywhere
Yazar:: Tony, Ferguson
Baskı/Yayın Bilgisi: (2004)