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CAPABILITIES




3D Range
Sensing





Image
Processing





Modeling &
Simulation





Motion Planning
& Execution





Machine
Learning





Manipulation




Multi-Vehicle
Coordination





Operator
Interfaces





Electromechanical
Design





System Integration
& Testing





Operational
Safety





Safety Engineering
& Certification





Projects vs.
Capabilities
Capabilities





Inspecting and classifying strawberry plants




Classifying behavior



Neural-net based optimization for bucket operation

Machine Learning

We design novel algorithms to solve very large scale data mining problems from rich and diverse information sources. Our techniques for active learning and experiment design allow us to maximize the benefit of expert labeling while minimizing its time and cost. We apply this research very broadly. Our machine learning applications include classifying terrain from aerial multi-spectral imagery, detecting obstacles for robotic applications in challenging terrain, modeling and predicting the motion of skid-steered vehicles, identifying cars and trucks on the highway, and inspecting and grading strawberry plants.

We focus particularly on machine learning for problems of decision mining, reinforcement learning, and learning control. In these applications, the learning algorithm's decision has an immediate effect on the environment it interacts with. Our algorithms have been applied to the optimal control of robotic manipulators, learning-based obstacle avoidance, route-planning and re-planning, and automated drug discovery.

  Active learning and experiment design

  Supervised, unsupervised, and reinforcement learning

  Inspection and classification

  Learning for control

  Decision mining

Projects featuring Machine Learning:

  Autonomous Manipulation (ARM-S)

  Drug Discovery System

  Cargo UGV

  Intelligent Electrocardiogram

  Strawberry Sorter

  Traffic Data Analysis


 

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