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RHex is an autonomous robot design, based on hexapod with compliant legs and one actuator per leg. A number of US universities have participated, with funding grants also coming from DARPA . Versions have shown good mobility over a wide range of terrain types [ 1 ] at speeds exceeding five body lengths per second (2.7 m/s), climbed slopes ...
Visual odometry is the process of determining equivalent odometry information using sequential camera images to estimate the distance traveled. Visual odometry allows for enhanced navigational accuracy in robots or vehicles using any type of locomotion on any [ citation needed ] surface.
Legged robots are a type of mobile robot which use articulated limbs, such as leg mechanisms, to provide locomotion. They are more versatile than wheeled robots and can traverse many different terrains, though these advantages require increased complexity and power consumption.
Odometry is the use of data from motion sensors to estimate change in position over time. It is used in robotics by some legged or wheeled robots to estimate their position relative to a starting location. This method is sensitive to errors due to the integration of velocity measurements over time to give position estimates.
A configuration describes the pose of the robot, and the configuration space C is the set of all possible configurations. For example: If the robot is a single point (zero-sized) translating in a 2-dimensional plane (the workspace), C is a plane, and a configuration can be represented using two parameters (x, y).
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Aerial robots are usually referred to as unmanned aerial vehicles (UAVs) Underwater robots are usually called autonomous underwater vehicles (AUVs) Polar robots, designed to navigate icy, crevasse filled environments; The device they use to move, mainly: Legged robot: human-like legs (i.e., an android) or animal-like legs. Wheeled robot. Tracks ...
Higher level environments that allow non-programmers access to ODE include Player Project, Webots, Opensimulator, anyKode Marilou and CoppeliaSim.. ODE is a popular choice for robotics simulation applications, with scenarios such as mobile robot locomotion [5] [6] and simple grasping.