Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Prasetyo, Marcel Bartholomeus"'
We present a viewpoint-based non-linear Model Predictive Control (MPC) for evacuation guiding robots. Specifically, the proposed MPC algorithm enables evacuation guiding robots to track and guide cooperative human targets in emergency scenarios. Our
Externí odkaz:
http://arxiv.org/abs/2409.19466
The underwater world remains largely unexplored, with Autonomous Underwater Vehicles (AUVs) playing a crucial role in sub-sea explorations. However, continuous monitoring of underwater environments using AUVs can generate a significant amount of data
Externí odkaz:
http://arxiv.org/abs/2402.03636
Autor:
Tan, Yu Xiang, Prasetyo, Marcel Bartholomeus, Daffa, Mohammad Alif, Nitin, Deshpande Sunny, Meghjani, Malika
The increasing demand for autonomous vehicles has created a need for robust navigation systems that can also operate effectively in adverse weather conditions. Visual odometry is a technique used in these navigation systems, enabling the estimation o
Externí odkaz:
http://arxiv.org/abs/2309.05249
This paper presents a localization algorithm for autonomous urban vehicles under rain weather conditions. In adverse weather, human drivers anticipate the location of the ego-vehicle based on the control inputs they provide and surrounding road conte
Externí odkaz:
http://arxiv.org/abs/2306.09134