The speed of walking robots is a critical factor in many applications,
especially in autonomous robot soccer games. Our aim
is to increase the walking speed of our robots through
automated hardware-in-the-loop optimization.
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Lara, the innovative humanoid robot, is actuated by a shape memory metal (SMA) called NiTinol. Prestrainend SMAs change their lengths up to
8% when heated above their transformation temperature. The heating of the muscles is realised by an electric current.
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Besides algorithms for the different subtasks of a robotic system, their embedding in the complete system is crucial.
An appropriate architecture has to take care of many tasks transparently.
Also, the development of new algorithms can be supported actively.
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The challenge of autonomous walking with lightweight robots with a low payload capability is a
sophisticated dynamic problem. All sensor and actuator components as well as the onboard computer
have to selected carefully.
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One of the subtasks in robot soccer and current research topic is
self-localization, i.e. to determine the position and orientation of the
robot. In robot soccer the robots have to localize on the playing field using
landmarks such as the goals, field lines, and the colored beacons. These
landmarks are not necessarily unique. Determining position and orientation
efficiently and accurately while having to rely on noisy landmark observations
is a difficult problem.
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The Extensible Agent Behavior Specification Language (XABSL)
is a pragmatic tool for engineering the behavior of autonomous agents in complex and dynamic environments. It is based
on hierarchies of finite state machines (FSM) for action selection and supports the design of longterm and deliberative
decision processes as well as of short-term and reactive behaviors.
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Based on a nonlinear hybrid dynamical systems model methods for optimal coordination and
control of multiple robots are investigated. The time dependent hybrid state of the overall
system consists of discrete (roles,actions) and continuous (e.g., position, orientation, velocity)
state variables of the vehicles involved.
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To enable testing of the robot-controle-software a simulation-framework has been developed.
This framework provides components for the interactive simulation of motion and sensors of a
team of humanoid robots.
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Resume of our achievements: a multitude of technological innovations.
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Purpose of a GameController is to provide the robots more information about the current game state including gamephase, remaining time, score and penalties. This allows a higher autonomy of the players.
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