Eric Demeester

MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments

The use of robotics in humanitarian demining increasingly involves computer vision techniques to improve landmine detection capabilities. However, in the absence of diverse and realistic datasets, the reliable validation of algorithms remains a challenge for the research community. In this paper, we

MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments

BIG-Net: Deep Learning for Grasping With a Bio-Inspired Soft Gripper

In this letter, a grasping neural network for a bio-inspired gripper (BIG-Net) trained on a synthetic dataset is proposed for the picking of novel objects. The grasp feasibility is evaluated by tracking the deformation of the soft gripping pad and three types of gripping forces during simulation. Ov

Probabilistic Decision Model for Adaptive Task Planning in Human-Robot Collaborative Assembly Based on Designer and Operator Intents

In the manufacturing industry, the era of mass customization has arrived. Combining the complementary strengths of humans and robots will allow to cope with growing product diversity and fluctuating demands. When collaborating, humans and robots operate in a shared workspace to assemble a common pro

User-specific Gaussian Process Model of Wheelchair Drivers with a Haptic Joystick Interface

In collaborative human-robot navigation such as when driving semi-autonomous robotic wheelchairs, intuitive control of the mobile robot is only possible if the robot understands its user. This becomes especially important as users present varying levels of abilities and heterogeneous driving styles.…