Titlebook: Robotics Research; The 14th Internation Cédric Pradalier,Roland Siegwart,Gerhard Hirzinger Conference proceedings 2011 Springer Berlin Heid

paleolithic

Design and Development of an Optimal-Control-Based Framework for Trajectory Planning, Threat Assessmion to this threat. This approach minimizes controller intervention while ensuring that the vehicle does not depart from a navigable corridor of travel. Simulation and experimental results are presented here to demonstrate the framework’s ability to incorporate configurable intervention laws while sharing control with a human driver.

Narrative

Stable Dynamic Walking over Rough Terraine-of-freedom biped with hip actuation but pointed stilt-like feet. The technique is, however, very general and can be applied to higher degree-of-freedom robots over arbitrary terrain and other impulsive mechanical systems.

conference

的是兄弟

Condense

Design and Development of an Optimal-Control-Based Framework for Trajectory Planning, Threat Assessmonomous control of passenger vehicles in hazard avoidance scenarios. This framework allows for multiple actuation modes, diverse trajectory-planning objectives, and varying levels of autonomy. A model predictive controller iteratively plans a best-case vehicle trajectory through a navigable corridor

吞吞吐吐

Autonomy through SLAM for an Underwater Robotcesses. This autonomy is used to carry out undersea target reacquisition missions that would otherwise be impossible with a low-cost platform. The AUV requires only simple sensors and operates without navigation equipment such as Doppler Velocity Log, inertial navigation or acoustic beacons. Demonst

啞巴

Sensing and Control on the Spheresphere for attitude estimation, control and scene structure estimation. This paper proposes the sphere as a unifying concept, not just for cameras, but for sensor fusion, estimation and control.We review and summarize relevant work in these areas and illustrate this with relevant simulation examples

Offbeat

GIBE

斜坡

Stable Dynamic Walking over Rough Terrainuch a system is an underactuated “dynamic walking” biped robot walking over rough terrain. The proposed technique is to compute a transverse linearization about the desired motion: a linear impulsive system which locally represents dynamics about a target trajectory. This system is then exponentiall