Ashutosh Saxena

Assistant Professor
Cornell University
Department of Computer Science
Education: PhD, Stanford University.

4159 Upson Hall, Ithaca, NY 14853
Tel: (607)255-7017, Fax: (607)255-4428
asaxena at cs.cornell.edu

Research interests

Artificial Intelligence: Machine Learning, Robotics, Computer Vision.

Web Data, Social Networks, Energy.

Teaching

Spr 2010: CS4758/6758 Robot Learning
Fall 2009: CS6780 Advanced Machine Learning
Fall 2009: CS7790 Artificial Intelligence Seminar

Advisor: CU Air team
Other links: Artificial Intelligence, Machine Learning, Robotics.

Announcements
Soundararaj and Sujeeth's paper on autonomous indoor helicopter flights was accepted in IROS 2009.

Srivastava's paper on i23 interactive 3D reconstruction was accepted in VMV 2009.

 

Projects

In the past, I have developed machine learning algorithms to solve challenging problems. In particular, I had developed Make3D, an algorithm that can make 3D models from a single standard digital picture. My algorithms have enabled robots to do various tasks, such as avoid obstacles while driving at high speeds, unload items from a dishwasher, etc.

I am in the process of starting new research projects in the areas of machine learning, robotics and online video collections. If you're a student (graduate or undergraduate) at Cornell University and interested in getting involved, feel free to get in touch with me.

 

SELECTED PROJECTS

(Click here to see all projects.)

 

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. Tens of thousands of users have converted their single photographs into 3D models.

 

Learning 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.
Popular Press: New York Times, Wired Magazine, NBC, ABC, BBC.

 

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.

Selected Papers: ICML'05, IJCV'07.
Research/Code/Data: here.
Video: Youtube.
Popular Press: KTVU news, New Scientist.

 

Other projects

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.