Papers
Six-Degrees-of-Freedom Remote Actuation of Magnetic Microrobots
Eric Diller, Joshua Giltinan, Guo Zhan Lum et al.
Correct High-level Robot Behavior in Environments with Unexpected Events
Kai Weng Wong, Rüdiger Ehlers, Hadas Kress-Gazit
Online Trajectory Planning in Dynamic Environments for Surgical Task Automation
Takayuki Osa, Naohiko Sugita, Mamoru Mitsuishi
An Analysis of Deceptive Robot Motion
Anca Dragan, Rachel Holladay, Siddhartha Srinivasa
Articulated Pose Estimation via Over-parametrization and Noise Projection
Jonathan Brookshire, Seth Teller
Self-Calibration and Visual SLAM with a Multi-Camera System on a Micro Aerial Vehicle
Lionel Heng, Gim Hee Lee, Marc Pollefeys
LOAM: Lidar Odometry and Mapping in Real-time
Ji Zhang, Sanjiv Singh
Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception
Chenxia Wu, Ian Lenz, Ashutosh Saxena
Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
Dipendra Kumar Misra, Jaeyong Sung, Kevin Lee et al.
Automatic generation of reduced CPG control networks for locomotion of arbitrary modular robot structures
Stéphane Bonardi, Massimo Vespignani, Rico Moeckel et al.
Learning to Recognize Human Activities from Soft Labeled Data
Ninghang Hu, Zhongyu Lou, Gwenn Englebienne et al.
Effective Task Training Strategies for Instructional Robots
Allison Sauppé, Bilge Mutlu
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression
Tim Barfoot, Chi Hay Tong, Simo Sarkka
Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning
Kshitij Judah, Alan P. Fern, Thomas G. Dietterich et al.
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause, Joel W. Burdick
Robust Hierarchical Clustering
Maria-Florina Balcan, Yingyu Liang, Pramod Gupta
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data
Tyler Lu, Craig Boutilier
Order-Independent Constraint-Based Causal Structure Learning
Diego Colombo, Marloes H. Maathuis
Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning
Toke J. Hansen, Michael W. Mahoney
Transfer Learning Decision Forests for Gesture Recognition
Norberto A. Goussies, Sebastián Ubalde, Marta Mejail
New Results for Random Walk Learning
Jeffrey C. Jackson, Karl Wimmer
Revisiting Bayesian Blind Deconvolution
David Wipf, Haichao Zhang
What Regularized Auto-Encoders Learn from the Data-Generating Distribution
Guillaume Alain, Yoshua Bengio