Abstract-- Existing high-dimensional motion planning algorithms are simultaneously overpowered and underpowered. In domains sparsely populated by obstacles, the heuristics used by ...
Nathan D. Ratliff, Matt Zucker, J. Andrew Bagnell,...
The Harvard Microrobotics Lab has previously demonstrated the world's first at-scale robotic insect capable of vertical takeoff with external power. Both of the robot's w...
Benjamin M. Finio, Jessica K. Shang, Robert J. Woo...
Visual search is a common daily human activity and a prerequisite to the interaction with objects encountered in cluttered environments. Humanoid robots that are supposed to take p...
Numerous approaches have been proposed for path planning in dynamic current fields, for a fixed departure time. However, in many applications, the departure time is not necessarily...
This paper presents a methodology based on a variation of the Quintic Pythagorean Hodographs curves for generating smooth feasible paths for autonomous vehicles in three-dimensiona...
Armando Alves Neto, Mario Fernando Montenegro Camp...
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Our previous paper presented a method for reducing adhesion forces by oscillation and showed the adhesion state can be checked by analyzing the data obtained by laser displacement ...
In a previous paper, we developed a robotic finger equipped with optical three-axis tactile sensors, of which the sensing cell can separately detect normal and shearing forces. Wit...
Masahiro Ohka, Nobuyuki Morisawa, Hanafiah B. Yuss...
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...