This research was to propose the DC linear actuators and a stepper motor as mechanical drive systems such brake pedal, clutch forward-reverse gearshift, gear position selection, tail-lifting system lift chemical tank, speed selection of power take-off (PTO). The were used instead muscles, arms, legs human being. control steering direction driverless tractor robot. based on programmable logic co...

This paper describes a rigorous Bayesian approach to model selection and state estimation for sensorbased robot tasks. The approach is illustrated with an example from autonomous compliant motion: simultaneous Contact Formation recognition and estimation of geometrical parameters. Previous research in this area tries to solve one of the two subproblems, or treats the Contact Formation recogniti...

Classifier systems (CS) are used as control architectures for simulated animals or robots in order to decide what to do at each time. We will explain why these systems are good candidates for action selection mechanisms of Non Player Characters. After having described different classifier systems, we will introduce a new CS architecture, acting in a multi-agent environment, which is adapted to ...

Unsupervised learning and supervised remote teleoperator control for robots may seem an unlikely combination. This paper argues that the combination holds advantages for both parties. The operator would like to “instruct” the robot without any special effort, and then be able to hand over some or all of the tasks to be performed without loss of overall supervisory control. In return, the learni...

This paper introduces an adaptive foothold selection algorithm for a legged robot walking on a rough terrain. The proposed algorithm searches for the best footholds to prevent slippages. It uses a known grid map of the surrounding terrain and a polynomial-based approximation method to create a decision surface. The robot learns from experiments, therefore no a priori expert’s knowledge is requi...

The Architecture for Behaviour-Based Agents (ABBA) is an architecture designed to illustrate that situated agents can exhibit sophisticated planning while retaining reactivity, without resorting to hybrid architectures. In particular, unified planning for spatial and topological navigation, cooperation and communication can be achieved using an appropriate actionselection scheme. Joint-planning...

Gait rehabilitation using body weight support on a treadmill is a recommended rehabilitation technique for neurological injuries, such as spinal cord injury. In this paper, a new robotic orthosis is presented for treadmill training. In the presented design the criteria such as low inertia of robot components, backdrivability, high safety and degrees of freedom based on human walking are conside...

The Architecture for Behaviour-Based Agents (ABBA) is an architecture designed to illustrate that situated agents can exhibit sophisticated planning while retaining reactivity, without resorting to hybrid architectures. In particular, unified planning for spatial and topological navigation, cooperation and communication can be achieved using an appropriate actionselection scheme. Joint-planning...

Designing a robot?s behavior in imprecise, uncertain, dynamic, unpredictable and real-time response domains is very challenging, and even more if an adversarial component is also present. An example of such domains is the robot soccer. In this work we propose the use of Case-Based Reasoning techniques to handle all these features in the action selection problem of a team of robots. Moreover, we...

This paper proposes a multi-robot coordination architecture for dynamic task, role and behavior selections. The proposed architecture employs the motivation of task, the utility of role, a probabilistic behavior selection and a team strategy for efficient multi-robot coordination. Multiple robots in a team can coordinate with each other by selecting appropriate task, role and behavior in advers...