7 accepted papers
This paper tackles the challenges of automating battery removal from small electronic devices, such as heat cost allocators and smoke detectors. The process is critical for mitigating fire hazards caused by lithium batteries in recycling facilities and for supporting a circular economy. We focus on …
Path planning is important for robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed. Most of the current approaches are iterative methods where the trajectory is generated by predicting the next state based on t…
We present a deep metadata fusion approach that connects image data and heterogeneous metadata inside a Convolutional Neural Network (CNN). This approach enables us to assign all relevant traffic lights to their associated lanes. To achieve this, a common CNN topology is trained by down-sampled and
Human-robot interaction strongly benefits from fast, predictive action recognition. For us this is relatively easy but difficult for a robot. To address this problem, here we present a novel prediction algorithm for manipulation action classes in video sequences. Manipulations are first represented…
Recognition of human manipulation actions together with the analysis and execution by a robot is an important issue. Also, perception of spatial relationships between objects is central to understanding the meaning of manipulation actions. Here we would like to merge these two notions and analyze ma…
Trajectory generation methods play an important role in robotics since they are essential for the execution of actions. In this paper we present a novel trajectory generation method for generalization of accurate movements with boundary conditions. Our approach originates from optimal control theory…
Robotic applications in human environments are usually implemented using a cognitive architecture that integrates techniques of different levels of abstraction, ranging from artificial intelligence techniques for making decisions at a symbolic level to robotic techniques for grounding symbolic actio…