SELECTED PROJECTS | ||
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Make3D: Single Image Depth Perception Learning algorithms to predict depth and infer 3-d models, given just a single still image.
Applications included creating immersive 3-d experience from users' photos,
improving performance of stereovision,
creating large-scale models from a few images, robot navigation, etc.
Selected Papers:
NIPS'05,
IJCV'07,
ICCV-3dRR'07,
AAAI-Nectar'08,
IEEE-PAMI'08.
NIPS'08.
Research/Code/Data: 2005, 2007, data. Online demo: Make3D.Stanford.edu. |
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STAIR: Mobile Robot Manipulation Learning algorithms to predict robotic grasps, even for objects of types never seen before by the robot. Applied to tasks such as unloading items from a dishwasher, clearing up a cluttered table, opening new doors, etc. Selected Papers:
NIPS'06,
IJRR'08,
AAAI'08a, AAAI'08b.
Research/Code/Data: Dishwasher, Cluttered (Barrett), Opening New Doors. Details: STAIR, Manipulation group. |
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Visual Navigation: High speed obstacle avoidance Use monocular depth perception and reinforcement learning techniques to drive a small rc-car at high speeds in unstructured environments. Also fly a indoor helicopter autonomously using a single onboard camera. |
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See projects page for more. E.g., 6-D wireless sourceless mouse, Bio-sensitive watch to prevent electric Shock, Noise tolerant Locally Linear Isomaps, Data driven robotics, etc. |
