Papers
Single Actuator Control Analysis of a Planar 3DOF Hopping Robot
Nicholas Cherouvim, Evangelos Papadopoulos
Microrobotic Streak Seeding For Protein Crystal Growth
Atanas Georgiev, Peter K. Allen, Ting Song et al.
Dynamic Task Assignment in Robot Swarms
James McLurkin, Daniel Yamins
A Two-Point Boundary-Value Approach for Planning Manipulation Tasks
Peng Song, Vijay Kumar, Jong-Shi Pang
Natural Gait Generation Techniques for Principally Kinematic Mechanical Systems
Elie Shammas, Howie Choset, Alfred Rizzi
Toward Optimal Configuration Space Sampling
Brendan Burns, Oliver Brock
Effcient Motion Planning Based on Disassembly
Yuandong Yang, Oliver Brock
A polynomial-time algorithm to design push plans for sensorless parts sorting
Mark de Berg, Xavier Goaoc, A. Frank van der Stappen
Efficient Exploration With Latent Structure
Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl et al.
Performance Bounds for Cooperative Simultaneous Localization and Mapping (C-SLAM)
Anastasios I. Mourikis, Stergios I. Roumeliotis
Information Gain-based Exploration Using Rao-Blackwellized Particle Filters
Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard
Visually Navigating the RMS Titanic with SLAM Information Filters
Ryan Eustice, Hanumant Singh, John Leonard et al.
Formation Stabilization of Multiple Agents Using Decentralized Navigation Functions
Herbert G. Tanner, Amit Kumar
Vision-based Distributed Coordination and Flocking of Multi-agent Systems
Nima Moshtagh, Ali Jadbabaie, Kostas Daniilidis
Complete Path Planning for Planar Closed Chains Among Point Obstacles
G.F. Liu, J.C. Trinkle
Star-shaped Roadmaps - A Deterministic Sampling Approach for Complete Motion Planning
Gokul Varadhan, Dinesh Manocha
Dynamic Maps for Long-Term Operation of Mobile Service Robots
Peter Biber, Tom Duckett
Active Learning For Outdoor Obstacle Detection
Cristian Dima, Martial Hebert
Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection
Carl Wellington, Aaron Courville, Anthony Stentz
Expectation Consistent Approximate Inference
Manfred Opper, Ole Winther
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas, Michael W. Mahoney
Efficient Margin Maximizing with Boosting
Gunnar Rätsch, Manfred K. Warmuth
Kernel Methods for Measuring Independence
Arthur Gretton, Ralf Herbrich, Alexander Smola et al.
Convergence Theorems for Generalized Alternating Minimization Procedures
Asela Gunawardana, William Byrne
Asymptotics in Empirical Risk Minimization
Leila Mohammadi, Sara van de Geer