Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,939)
Clear ✕Co-active Learning to Adapt Humanoid Movement for Manipulation
Ren Mao, John S. Baras, Yezhou Yang +1 more
2016
Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets
Matteo Bianchi, Jeannette Bohg, Yu Sun
2016
Classifying and sorting cluttered piles of unknown objects with robots: a learning approach
Janne V. Kujala, Tuomas J. Lukka, Harri Holopainen
2016
Guided Policy Search as Approximate Mirror Descent
William Montgomery, Sergey Levine
2016
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects
Yinxiao Li, Yan Wang, Yonghao Yue +5 more
2016
Intrinsically Motivated Multimodal Structure Learning
Jay Ming Wong, Roderic A. Grupen
2016
Human-Planned Robotic Grasp Ranges: Capture and Validation
Brendon John, Jackson Carter, Javier Ruiz +4 more
2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin Nair, Pieter Abbeel +2 more
2016
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
2016
Dictionary Learning for Robotic Grasp Recognition and Detection
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
2016
Fast Graph-Based Object Segmentation for RGB-D Images
Giorgio Toscana, Stefano Rosa
2016
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
Abhishek Gupta, Clemens Eppner, Sergey Levine +1 more
2016
From virtual demonstration to real-world manipulation using LSTM and MDN
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal +1 more
2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine, Peter Pastor, Alex Krizhevsky +1 more
2016
Unscented Bayesian Optimization for Safe Robot Grasping
José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino +1 more
2016
Object Manipulation Learning by Imitation
Zhen Zeng, Benjamin Kuipers
2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
2016
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding
Jaeyong Sung, Seok Hyun Jin, Ian Lenz +1 more
2016
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
Ashesh Jain, Shikhar Sharma, Thorsten Joachims +1 more
2016
Learning the Semantics of Manipulation Action
Yezhou Yang, Yiannis Aloimonos, Cornelia Fermuller +1 more
2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng, Coline Devin, Judy Hoffman +5 more
2015
Learning Articulated Motion Models from Visual and Lingual Signals
Zhengyang Wu, Mohit Bansal, Matthew R. Walter
2015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2 more
2015
Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories
Jaeyong Sung, Ian Lenz, Ashutosh Saxena
2015