This paper introduces a robust task-space control scheme for a robotic system with an adaptive observer. The proposed approach does not require the availability of the system states and an adaptive observer is developed to estimate the state variables. These estimated states are then used in the control scheme. First, the dynamic model of a robot is derived. Next, an observer-based robust contr...

To enable the successful deployment of task-achieving multi-robot systems (MRS), the interactions must be coordinated among the robots within the MRS and between the robots and the task environment. There have been a number of impressive experimentally demonstrated coordinated MRS; however, most have been designed through ad hoc procedures, typically providing task-specific, empirical insights ...

This paper presents an attempt on incremental robot learning from demonstration. Based on previously learnt knowledge about a task in simpler situations, a robot learns to fulfill the same task properly in a more complicated situation through analyzing comparative demonstrations and extracting new knowledge, especially the constraints that the task in the new situation imposes on the robot’s be...

We present an integrated framework that permits implicit task learning and kinesthetic teaching during the execution of robotic tasks in cooperation with humans. The proposed system combines physical human-robot interaction, attentional supervision, multimodal interaction to support robot teaching and incremental task learning. We describe the overall system architecture discussing a task learn...

This paper presents a robot search task (social tag) that uses social interaction, in the form of asking for help, as an integral component of task completion. Socially distributed perception is defined as a robot’s ability to augment its limited sensory capacities through social interaction. We describe the task of social tag and its implementation on the robot GRACE for the AAAI 2005 Mobile R...

We approach floor-level robotic manipulation from a Learning from Demonstration direction. In this paradigm, a robot learns new tasks in new environments from observations of the task itself. Many current robot learning algorithms require the existence of basic behaviors that can be combined to perform the desired task. However, robots that exist in the world for long timeframes may exhaust thi...

In an increasing demand for human-robot collaboration systems, the need for safe robots is crucial. This paper presents a proactive strategy to enable an awareness of the current risk for the robot. The awareness is based upon a map of historically occupied space by the operator. The map is built based on a risk evaluation of each pose presented by the operator. The risk evaluation results in a...

Path planning of mobile robot is related to generating safest trajectories within its work space by avoiding obstacles, escaping traps and finally reaches its destination within optimal period. While an autonomous mobile robot is motion, each robot task needs a different form of learning because of its environmental changes. To select suitable robotic action at different environmental situation...

Behavior based architecture is widely used in mobile robot because it makes the robot response faster. If robot only works to achieve simple task, it can use some primitive behaviors. However, when the task is getting more complex, the behavior coordination is needed. In order to construct this coordinator, fuzzy logic can be applied as Fuzzy Behavior Coordinator (FBC). By using FBC, it can be ...