Clearpath Robotics Inc.

Other

Michael Irvine

Ryan Christopher Gariepy

Matthew Lord

Peiyi Chen

Alex Bencz

Roydyn Clayton

Shahab Kaynama

James Servos

Yan Ma

Matthew Allen Rendall

Simon Drexler

Anthony Robert Shaw

Robert Dam

Scott Waters

Mark Julian Podbevsek

Michael O'Driscoll

Arsalan Alim

John Duncan Edwards

Aaron Wilson

Philip Dimitri Perivolaris

Arsalan Khan

Catalin Radu Gradinaru

Aaron Gerlach

Vaibhav Kumar Mehta

Amritpal Saini

Systems and methods for self-driving collision prevention are presented. The system comprises a self-driving vehicle safety system, having one or more sensors in communication with a control system. The control system is configured determine safety fields and instruct the sensors to scan a region corresponding to the safety fields. The control system determines exclusion regions, and omits the exclusion regions from the safety field. The safety system may also include capability reduction parameters that can be used to constrain the drive system of the vehicle, for example, by restricting turning radius and speed in accordance with the safety fields.

Systems and methods for self-driving vehicle collision prevention

There is provided an electrically-powered material-transport vehicle having a vehicle-charging contact on one side of the vehicle, and a second vehicle-charging contact on the opposite side of the vehicle. The vehicle has a load-bearing cap that covers the top of the vehicle, and a cap elevator for raising and lowering the cap. The cap can be raised and lowered to a transit position, a payload-engagement position, a charging position, and a maintenance position. In the transit position and payload-engagement position, the cap covers the vehicle-charging contacts so that they are not exposed. In the charging position, the cap is raised so that the vehicle-charging contacts are exposed. The vehicle can enter a charging-dock with the cap in the charging position in order to recharge the vehicle's battery.

Apparatus, systems, and methods for operating and maintaining electrically-powered material-transport vehicles

A system for path control for a mobile unmanned vehicle in an environment is provided. The system includes: a sensor connected to the mobile unmanned vehicle; the mobile unmanned vehicle configured to initiate a first fail-safe routine responsive to detection of an object in a first sensor region adjacent to the sensor; and a processor connected to the mobile unmanned vehicle. The processor is configured to: generate a current path based on a map of the environment; based on the current path, issue velocity commands to cause the mobile unmanned vehicle to execute the current path; responsive to detection of an obstacle in a second sensor region, initiate a second fail-safe routine in the mobile unmanned vehicle to avoid entry of the obstacle into the first sensor region and initiation of the first fail-safe routine.

Method, system and apparatus for self-driving vehicle obstacle avoidance

A mobile platform for materials transport is provided. The platform includes a pair of suspension devices that in turn include a pair of rocker beams which can be rotated between two positions: a first position where central wheels attached thereto can be used to drive the platform; and a second position where the central wheels are retracted and the platform can be rolled on end wheels without the friction of the central wheels, and an associated drive system, impeding movement of the platform. Furthermore, data from sensors and/or load cells can be used to control movement of the platform; specifically shifts in load distribution and/or sensed forces at the suspension devices can indicate that a load (and/or materials) has shifted and/or is shifting and movement of the platform is adjusted accordingly, for example to prevent the platform and/or the load (and/or materials) from tipping.

Mobile platform for materials transport

Systems and methods for obstacle avoidance with a self-driving vehicle are provided. The system comprises a processor connected to the self-driving vehicle and a sensor in communication with the processor. The sensor is configured to detect objects. The processor is configured to receive a measurement of the self-driving vehicle's speed, and define a sensor region based on the speed. The processor can determine that an object detected by the sensor is within the sensor region, and then initiate a fail-safe routine. The sensor region may be defined based on a range parameter. The sensor region may be defined based on the stopping distance of the vehicle. The sensor region may be redefined when the vehicle's speed changes.

An electric vehicle charging interface device is provided. The device includes a chassis having a top, a bottom, a front side, and a back side opposite the front side, the chassis configured to move between an uncompressed position and a compressed position relative to a longitudinal axis. The device further includes two electrodes extending from the front side of the chassis, and, a biasing portion configured to bias the chassis towards the uncompressed position.

Electric vehicle charging interface device

A mobile platform for materials transport is provided. The platform includes a pair of suspension devices that in turn include a pair of rocker beams which can be rotated between two positions: a first position where central wheels attached thereto can be used to drive the platform; and a second position where the central wheels are retracted and the platform can be rolled on end wheels without the friction of the central wheels, and an associated drive system, impeding movement of the platform. Furthermore, data from sensors and/or load cells can be used to control movement of the platform; specifically, shifts in load distribution and/or sensed forces at the suspension devices can indicate that a load (and/or materials) has shifted and/or is shifting and movement of the platform is adjusted accordingly, for example to prevent the platform and/or the load (and/or materials) from tipping.

Method, system and apparatus for path control in unmanned vehicles

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Mississauga, Canada

Michael Irvine