This course introduces methods that leverage the basic analysis techniques learned in Robotics I to develop numerical and algorithmic techniques needed to endow robots with the “intelligence” to devise strategies to solve problems they will encounter. Once these abilities are sufficiently well developed, robots will become safe and autonomous, thus paving the way for pervasive personal robots. Topics include: configuration space representation, cell decomposition, roadmap methods, rapidly-exploring random trees, simultaneous localization and mapping, contact modeling, grasping, and dexterous manipulation.
| Spring | Summer | Fall | ||
|---|---|---|---|---|
| (Session 1) | (Session 2) | |||
| 2025 | ||||
| 2024 | ||||
| 2023 | ||||
| 2022 | ||||
| 2021 | ||||
| 2020 | ||||
| 2019 | ||||
| 2018 | ||||
| 2017 | ||||
| 2016 | ||||
| 2015 | ||||
| 2014 | ||||
| 2013 | ||||
| 2012 | ||||
| 2011 | ||||
| 2010 | ||||
| 2009 | ||||
| 2008 | ||||
| 2007 | ||||
| 2006 | ||||
| 2005 | ||||
| 2004 | ||||
| 2003 | ||||
| 2002 | ||||
| 2001 | ||||
| 2000 | ||||
| 1999 | ||||
| 1998 | ||||