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Mobile Robotics Technology

Mobile robots typically require the fusion of multiple signal processing methods and are highly dependant on advanced perceptive systems. If you wish to see demonstration videos or seek additional information, please contact us.

Robotic Mapping

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The automatic mapping of a given area is a much desired component of a mobile robot with numerous applications to navigation, perception and mission planning systems. Robotic mapping is a complex task which requires both the location of the robot and its perceptive information to be reliably extracted from multiple data streams. Projective Space has vast experience in this data fusion problem, demonstrated through this portal.

Multimedia Showcase

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Plan-view of map created from a mobile platform in an unstructured outdoor terrain based on the fusion of a variety of sensors such as stereo vision, colour camera, lidar, radar, GPS and INS.

Lidar-based topographical map (low to high - blue to red) of a road segment, where green is the vehicles trajectory.

Excerpt from robotic mapping process, showing individual sensor and fused map outputs.

Point map from an unstructured terrain with registered colour camera and trajectory information.

Association of colour camera (over-exposed) and lidar-based map.

Topographical point map projected into image plane.

Radar-based occupancy map showing track boundaries from outdoor terrain.

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Robotic Guidance

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Mobile robots are becoming increasingly popular in everyday life, with numerous industries seeking to improve productivity, reduce risk exposure and develop long term sustainability. To perform effectively, mobile robots need to employ a suite of perceptive systems to understand their surroundings as well as guidance systems to navigate to their goal. With a strong background in mobile robotics, Projective Space possess well established robotic guidance technology, which can be further examined through this portal.

Multimedia Showcase

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Mobile robot constructing a map to aid guidance and obstacle avoidance.

Vision-based guidance to drive towards the mission goal.

Grid-map and visual data from guidance mission.

Robot identifies and drives towards designated way-point.

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