activity
20122017
most citedReducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

269 citations · 295 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20173 cited

Improving grasp performance using in-hand proximity and contact sensing

Radhen Patel, Rebecca Cox, Branden Romero +1

We describe the grasping and manipulation strategy that we employed at the autonomous track of the Robotic Grasping and Manipulation Competition at IROS 2016. A salient feature of…

cs.RO2016

Sparser Sparse Roadmaps

David Coleman, Nikolaus Correll

We present methods for offline generation of sparse roadmap spanners that result in graphs 79% smaller than existing approaches while returning solutions of equivalent path quality…

cs.RO2014

Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery

Lu Ma, Mahsa Ghafarianzadeh, Dave Coleman +2

We present an unsupervised framework for simultaneous appearance-based object discovery, detection, tracking and reconstruction using RGBD cameras and a robot manipulator. The syst…

cs.RO2014

Experience-Based Planning with Sparse Roadmap Spanners

David Coleman, Ioan A. Sucan, Mark Moll +2

We present an experienced-based planning framework called Thunder that learns to reduce computation time required to solve high-dimensional planning problems in varying environment…

cs.RO2014269 cited

Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

David Coleman, Ioan Sucan, Sachin Chitta +1

Developing robot agnostic software frameworks involves synthesizing the disparate fields of robotic theory and software engineering while simultaneously accounting for a large vari…

cs.PL201223 cited

Organizing the Aggregate: Languages for Spatial Computing

Jacob Beal, Stefan Dulman, Kyle Usbeck +2

As the number of computing devices embedded into engineered systems continues to rise, there is a widening gap between the needs of the user to control aggregates of devices and th…