Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,629)
Clear ✕Learning to Explore in Motion and Interaction Tasks
Miroslav Bogdanovic, Ludovic Righetti
2019
Fully Convolutional Search Heuristic Learning for Rapid Path Planners
Yuka Ariki, Takuya Narihira
2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel, Alexander Pashevich, Igor Kalevatykh +3 more
2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie, Yu Xiang, Arsalan Mousavian +1 more
2019
Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Amy Tabb, Khalil M. Ahmad Yousef
2019
Multisensory Learning Framework for Robot Drumming
A. Barsky, C. Zito, H. Mori +2 more
2019
Grasping Using Tactile Sensing and Deep Calibration
Masoud Baghbahari, Aman Behal
2019
Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter
Andrew Price, Linyi Jin, Dmitry Berenson
2019
Robust and fast generation of top and side grasps for unknown objects
Brice Denoun, Beatriz Leon, Claudio Zito +3 more
2019
Neural Embedding for Physical Manipulations
Lingzhi Zhang, Andong Cao, Rui Li +1 more
2019
Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki, Dominik Belter, Jeremy L. Wyatt
2019
Graph-Structured Visual Imitation
Maximilian Sieb, Zhou Xian, Audrey Huang +2 more
2019
Estimating Mass Distribution of Articulated Objects using Non-prehensile Manipulation
K. Niranjan Kumar, Irfan Essa, Sehoon Ha +1 more
2019
GarmNet: Improving Global with Local Perception for Robotic Laundry Folding
Daniel Fernandes Gomes, Shan Luo, Luis F. Teixeira
2019
PyRep: Bringing V-REP to Deep Robot Learning
Stephen James, Marc Freese, Andrew J. Davison
2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan, Mohi Khansari, Jasmine Hsu +4 more
2019
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner +3 more
2019
2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes
Claudio Zito, Tomasz Deregowski, Rustam Stolkin
2019
Control What You Can: Intrinsically Motivated Task-Planning Agent
Sebastian Blaes, Marin Vlastelica Pogančić, Jia-Jie Zhu +1 more
2019
Directed Exploration for Reinforcement Learning
Zhaohan Daniel Guo, Emma Brunskill
2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification
Daniel J. Mankowitz, Nir Levine, Rae Jeong +7 more
2019
Learning to Plan Hierarchically from Curriculum
Philippe Morere, Lionel Ott, Fabio Ramos
2019
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues
Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller +2 more
2019
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu, Jiajun Wu, Andy Zeng +2 more
2019