4 accepted papers
This work presents the implementation and evaluation of a real-time collision-avoiding motion planning algorithm for highly dynamic environments. By combining short-horizon obstacle estimation with the robot constraints, our method implements collision-avoiding situational-aware motion planning by h
Robotization is considered a key solution to labor shortages in the agri-food industry. However, deploying robots in natural environments is challenging due to unpredictable factors such as plant variances and occlusions. This paper focuses on the localization of tomato trusses for autonomous harves
Robots that have to robustly execute their task in an environment containing many variations need situational awareness to adapt at run-time. This work proposes a knowledge-centered software architecture with a world model (WM) as a first class citizen, from which other software components can query
This work explains the use of invariants in robotic perception and control skills. An “invariant” is a mathematical constraint that remains unchanged under a particular transformation in a system. This property makes robotic functionalities more robust against “disturbances” that cause these transfo