I organized a reading group among GRASP Lab members on various topics related to robotic manipulation.
Here, you can find a listing of the papers we reviewed.
Spring 2019
Apr 5: “Warm Start of Mixed-Integer Programs for Model Predictive Control of Hybrid Systems.” Tobia Marcucci
and Russ Tedrake
Mar 29: “Interaction Networks for Learning about Objects, Relations and Physics.” P. Battaglia, R. Pascanu, M. Lai, D. Rezende, and K. Kavukcuoglu
Mar 15: "Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids." Y. Li, J. Wu, R. Tedrake, J. Tenenbaum, and A. Torralba
Mar 1: "Data-Augmented Contact Model for Rigid Body Simulation." Y. Jiang, J. Sun, and C. K. Liu
Feb 22: “QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.” D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, and S. Levine
Feb 15: “The Complexities of Grasping in the Wild.” Y. C. Nakamura, D. M. Troniak , A. Rodriguez , M. T. Mason, and N. S. Pollard
Feb 8: “Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM.” D. Ma, E. Donlon, S Dong, and A. Rodriguez
Jan 25: “Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks.” M. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg
FAll 2018
“GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger.” E. Donlon, S. Dong, M. Liu, J. Li, E. Adelson, and A. Rodriguez
“Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning.” A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, and T Funkhouser
“Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation.” P. Florence, L. Manuelli, and R Tedrake
“Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision.” K. Fang, Y. Zhu, A. Garg, A. Kurenkov, V. Mehta, L. Fei-Fei, and S. Savarese
“Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach.” D. Morrison, P. Corke, and J. Leitner
“Learning to Grasp Without Seeing.” A. Murali, Y. Li, D. Gandhi, and A. Gupta
“Leveraging Contact Forces for Learning to Grasp.” H. Merzic, M. Bogdanovic, D. Kappler, L. Righetti, and J. Bohg
“Reactive Planar Manipulation with Convex Hybrid MPC.” F. Hogan, E. Romo, and A. Rodriguez.
“More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch.” R. Calandra, A. Owens, D. Jayaraman, J. Lin, W. Yuan, J. Malik, E. H. Adelson, and S. Levine
"Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact." N. Fazeli, S. Zapolsky, E. Drumwright, and A. Rodriguez.