Abstract: There has been unprecedented development in the field of unmanned ground vehicles (UGVs) over the past few years. UGVs have been used in many fields including civilian and military with applications such as military ...

Abstract: Safe trajectory planning for highperformance automated vehicles in an environment with both static and moving obstacles is a challenging problem. Part of the challenge is developing a formulation that can be solved in ...

Abstract: The present paper is related to a research activity concerning selfbalancing vehicles, with particular reference to the interaction between driver and vehicle’s dynamics, at the aim to investigate safety management and ...

Abstract: Inverse reinforcement learning (IRL) has been successfully applied in many robotics and autonomous driving studies without the need for handtuning a reward function. However, it suffers from safety issues. Compared to the ...

Abstract: This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable. This approach enables the reference governor to gradually ...

Abstract: This paper presents an investigation of collaborative localization for heterogeneous robots, resulting in a scheme for relative localization of a heterogeneous team of low-cost mobile robots. A novel complementary Kalman ...

Abstract: This article presents a new method of detecting incipient immobilization for a wheeled mobile robot operating in deformable terrain with high spatial variability. This approach uses proprioceptive sensor data from a ...

Abstract: This study aims to develop and integrate guidance and control functions for applications such as rendezvous and docking, trajectory planning, entry descent and landing, executing maneuvers, and minimum fuel consumption. ...

Abstract: Autonomous robotics plays a pivotal role to simplify human–machine interaction while meeting the current industrial demands. In that process, machine intelligence plays a dominant role during the decision making in the ...

Abstract: We describe a deepgeometric localizer that is able to estimate the full six degreesoffreedom (DOF) global pose of the camera from a single image in a previously mapped environment. Our map is a topometric one, with discrete ...