Experiments with the Edinburgh R2 mobile robot are presented that show how robots can be taught to accomplish various diierent tasks, without the need for reprogramming the controller, and without using self-tuition. In an externally supervised teaching process | not unlike the process of \shaping" known in animal learning | the robot acquires compe-tences such as obstacle avoidance, contour fo...

In this paper, a trajectory generator for a visual servoing system is proposed to make the system accomplish obstacle avoidance tasks in unknown environments. Using an estimated epipolar constraint, the proposed scheme can generate trajectories for the visual servoing system on the 2D image planes by a simple obstacle avoidance method without reconstructing 3D geometry. The proposed scheme is b...

We propose a model for learning the articulated motion of human arm and hand grabbing. The goal is to generate plausible trajectories of joints that mimic the human movement using deformation information. The trajectories are then mapped to a constraint space. These constraints can be the space of start and end configuration of the human body and task-specific constraints such as avoiding an ob...

A substantial challenge in robotics is integration of complex software systems for realtime performance. This thesis integrates the robust and generic mapping framework Atlas, a feature-based local Simultaneous Localization and Mapping (SLAM) module, and obstacle avoidance using information from mapped features. The resulting system performs autonomous feature-relative Real-time Obstacle Avoida...

An incremental approach is used to simulate the evolution of neural controllers for robust obstacle-avoidance in a Khepera robot and proves to be more eecient than a direct approach. During a rst evolutionary stage, obstacle-avoidance controllers in medium-light conditions are generated. During a second evolutionary stage, controllers avoiding strongly-lighted regions, where the previously acqu...

Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination without collision. Several algorithms have been proposed for obstacle avoidance, having drawbacks and benefits. In this survey paper, we mainly discussed different algorithms for robot navigation with obstacle avoidance. We also compared all provided algorithms and me...

With the wide deployment of redundant manipulators in complex working environments, obstacle avoidance emerges as an important issue to be addressed in robot motion planning. In this paper, a new obstacle avoidance scheme is presented for redundant manipulators. In this scheme, obstacle avoidance is mathematically formulated as a time-varying linearly constrained quadratic programming problem. ...

This paper presents a visual obstacle avoidance system for low-cost autonomous watercraft in riverine environments, such as lakes and rivers. Each watercraft is equipped with a smartphone which offers a single source of perceptual sensing, via a monocular camera. To achieve autonomous navigation in riverine environments, watercraft must overcome the challenges of limited sensing, low computatio...

The aim of this research is to design and implement line-tracking mobile robot. The robot must follow a line drawn on the floor with different color, avoids hitting moving object like another moving robot or walking people and achieves color sensing. The control system reacts by controlling each of the motors to keep the tracking sensor over the middle of the line. Proximity sensors used to avo...

Research into reactive collision avoidance for unmanned aerial vehicles has been conducted on unmanned terrestrial and mini aerial vehicles utilising active Doppler radar obstacle detection sensors. Flight tests conducted by flying a mini UAV at an obstacle have confirmed that a simple reactive collision avoidance algorithm enables aerial vehicles to autonomously avoid obstacles. This builds up...