I. INTRODUCTION
Gathering information in a building polluted by BC terrorism is a very important task as well as the rescue and the urgent medical treatment for survivors. With the advance of technology and research, robots are expected to become a neuralgic supporting tools for responders. Mobile platforms are required to demonstrate the ability to open doors, negotiate stairs, handling suspicious objects while being remotely controlled. Various robots and system for this purpose have been developed and proposed. The robot introduced in [1] can move on stairs and open doors by using 2 robotic arms. However robot and controller are rather big and while they can be applied for tasks in nuclear plants, for search and rescue operations they would result in a bulky and difficult to be deployed solution. [2] proposes a platform capable of opening doors too. Though this robot cannot pass the door with the only operation of its arm, it can push or pull doors by a suction disk mounted on its front. The above systems have all a man in the loop, however fully autonomous systems on the other hand, have been studied and developed for home applications. For this kind of approaches, several issues must be addressed in order to have autonomous machines capable of interacting with the home environment. In the case of the robot presented in [3] it is assumed to know the position of the door and its knob. The robot can then open doors automatically. In [4], a laser range finder is utilized to recognize the door and its knob autonomously. The autonomous behavior of the above mobile platforms shows excellent capabilities, however, the recognition of doors, knobs, and the generation of the opening motion needs a lot of computational power due to the calculation complexity. Our research targets time-sensitive situations carried out with HELIOS IX platform:
The approach of object with the manipulator
Grasping objects
Rotating doorknobs or valves
Opening doors
Developed arm-equipped tracked vehicle HELIOS IX