Mac Mason Bhaskara Marthi

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Implementation

• PR2 + Kinect

• ROS, PCL, Nav stack

• MongoDB for storing info

• Binary blobs + metadata (color, shape, ...)

• Partition by run

• Efficient queries over location, attributes

Objektorientierte Daten- und Zeitmodelle für die Echtzeit ...

How-Models of Human Reaching Movements in the - Intelligent ...

Planning, Scheduling, and Plan Execution for Autonomous Robot ...

On Fast Surface Reconstruction Methods for Large and Noisy Datasets

¨Ubungen zur Vorlesung Grundlagen der künstlichen Intelligenz

Close-range Scene Segmentation and Reconstruction of 3D Point ...

James Kuffner - Intelligent Autonomous Systems Group

Knowledge Processing for Autonomous Robots - Home.html ...

A Person and Context Specific Approach for Skin Color Classification

The TUM Kitchen Data Set of Everyday Manipulation Activities for ...

Towards a Networked Robot Architecture for Distributed Task ...

Point Clouds Kinect Plane Finder Clustering Pipeline Planes in frame Object clusters Plane Data Association Points above planes Object Data Association Set of planes DB Set of objects + metadata

Implementation • PR2 + Kinect • ROS, PCL, Nav stack • MongoDB for storing info • Binary blobs + metadata (color, shape, ...) • Partition by run • Efficient queries over location, attributes

Page 1 and 2: An Object-based World Model and its
Page 12 and 13: Data Association • Match within r
Page 14 and 15: Sensors to symbols • Sensor level
Page 16 and 17: Reify Geometry • Surfaces, cluste
Page 18: Conclusions • Object-based world

Mac Mason Bhaskara Marthi

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