Rutgers Robotics Seminars

The robotics research group at Rutgers University organizes weekly seminars, where students and postdocs present and discuss selected recent papers on robot perception, planning, reasoning, and learning.

Location: CBIM 22.
Time: Every Tuesday from 12:00pm to 1:00pm.

Schedule:

January 23, 2018 
February 6, 2018 
  • Paper: Feng Zhou, Fernando De la Torre, and Jessica K. Hodgins"Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion ". In IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2013.
  • Link: http://www.f-zhou.com/tc/2013_PAMI_HACA.pdf
  • Presenter: David Surovik
February 20, 2018 
February 22, 2018 
March 6, 2018 
  • Paper: Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke. "Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping".
  • Link: https://arxiv.org/abs/1709.07857
  • Presenter: Jean-Philippe Mercier
March 20, 2018 
  • Paper: Shaojun Zhu, David Surovik, Kostas E. Bekris and Abdeslam Boularias. "Information-Efficient Model Identification for Tensegrity Robot Locomotion" In AAAI 2018 Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy (SIRLE), March 2018.
  • Presenter:  Shaojun Zhu
April 3, 2018 
  • Paper: Muhayy uddin, Mark Moll, Lydia Kavraki and Jan Rosell ." Randomized Physics-Based Motion Planning for Grasping in Cluttered and Uncertain Environments ". In IEEE Robotics and Automation Letters, 2018.
  • Link: http://ieeexplore.ieee.org/document/8207585/
  • Presenter:  Wei Tang
  • Paper: David Surovik and Kostas Bekris ." Symmetric Reduction of Tensegrity Rover Dynamics for Efficient Data-Driven Control ". In ASCE Earth and Space Conference, Symposium on "Tensegrity - Structural Concept and Applications", 2018.
  • Link: https://www.cs.rutgers.edu/~kb572/pubs/asce_sym.pdf
  • Presenter:  David Surovik
April 24, 2018 
  • Paper: Kiril Solovey and Dan Halperin. " Efficient Sampling-Based Bottleneck Pathfinding over Cost Maps ". In Proceedings of the International Conference on Intelligent Robots and Systems, 2017.
  • Link: https://arxiv.org/pdf/1608.00261.pdf
  • Presenter:  Andrew Kimmel
July 2nd, 2018 

Past Seminars

September 19, 2016 
September 28, 2016 
October 5, 2016
October 12, 2016
October 19, 2016
October 26, 2016
November 2, 2016
  • Paper 1: Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kroeger, James Kuffner, Ken Goldberg. A Cloud-Based Network of 3D Objects for Robust Grasp Planning Using a Multi-Armed Bandit Model with Correlated Rewards. 
  • Link 1: http://goldberg.berkeley.edu/pubs/icra16-submitted-Dex-Net.pdf
  • Paper 2: Jeffrey Ichnowski, Jan Prins and Ron Alterovitz. Cloud-based Motion Plan Computation for Power-Constrained Robots.
  • Link 2:
  • Presenter: Rahul Shome
November 9, 2016
November 16, 2016
November 23, 2016 
  • Paper 1: Ashwin Deshpande, Tomas Lozano-Perez and Leslie Kaelbling. Decidability of Task and Motion Planning.
  • Paper 2: William Vega-Brown and Nicholas Roy. Asymptotically optimal task and motion planning.
  • Presenter: Andrew Dobson
November 30, 2016
  • Paper: S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
  • Presenter: Yikun Xian
    • December 7, 2016
    December 14, 2016
    • Paper 1: Brian Paden and Emilio Frazzoli. A Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning
    • Paper 2: Valerio Varricchio, Brian Alexander Paden, Dmitry Yershov and Emilio Frazzoli. Efficient nearest neighbor search for dynamical systems with nonholonomic constraints.
    • Presenter: Zakary Littlefield
    January 27, 2016 
    • Paper: Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock. Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems.
    • Link: PDF: http://www.roboticsproceedings.org/rss12/p36.pdf
    • Presenter: Zacharias Psarakis
    February 3, 2017 
    February 10, 2017 
    February 17, 2017 
    February 24, 2017 
    March 10, 2017 
    March 24, 2017 
    • Paper: Praveenram Balachandar. A Neuro-inspired oculomotor controller for a robotic head prototype. MS Thesis, Rutgers University, 2017.
    • Presenter: Praveenram Balachandar
    March 31, 2017 
    April 7, 2017 
    • Paper: Chelsea Finn, Sergey Levine, Pieter Abbeel. Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization. In ICML 2016.
    • Link: http://arxiv.org/pdf/1603.00448
    • Presenter: Aravind Sivaramakrishnan
    April 14, 2017 
    April 21, 2017 
    • Paper: Guangzhi Tang. Gridbot: Towards a neuro-inspired navigation system. MS Thesis, Rutgers University, 2017.
    • Presenter: Guangzhi Tang
    April 28, 2017 
    • Paper: Oren Salzman and Brian Hou and Siddhartha Srinivasa. Efficient motion planning for problems lacking optimal substructure. In ICAPS 2017.
    • Link: https://arxiv.org/pdf/1703.02582.pdf
    • Presenter: Nick Stiffler
    June 19, 2017 
    June 26, 2017 
    • Paper: Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel. Deep Spatial Autoencoders for Visuomotor Learning. In ICRA 2016.
    • Link: http://rll.berkeley.edu/dsae/dsae.pdf
    • Presenter: Aravind Sivaramakrishnan
    July 10, 2017 
    July 17, 2017 
    July 24, 2017 
    July 31, 2017 
    Auguste 7, 2017 
    Auguste 14, 2017 
    Auguste 21, 2017 
    October 2, 2017 
    October 9, 2017 
    October 16, 2017 
    October 23, 2017 
    • Paper 1: Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine. "Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer". In ICRA 2017.
    • Link 1: https://arxiv.org/pdf/1609.07088.pdf
    • Paper 2: Andrei A. Rusu, Matej Vecerik, Thomas Rothoerl, Nicolas Heess, Razvan Pascanu, Raia Hadsell. "Sim-to-Real Robot Learning from Pixels with Progressive Nets". 
    • Link 2:  https://arxiv.org/pdf/1610.04286.pdf
    • Presenter: Kun Wang
    October 30, 2017 
    • Paper 1: Finale Doshi-Velez and George Konidaris. "Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parameterizations". In IJCAI 2016.
    • Link 1: http://cs.brown.edu/people/gdk/pubs/hip_mdps.pdf
    • Paper 2: Taylor Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez. "Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes". In NIPS 2017.
    • Link 2: https://arxiv.org/pdf/1706.06544.pdf
    • Presenter: Shaojun Zhu
    November 8, 2017 
    • Paper 1: David Surovik and Kostas Bekris. "Deep Coverage: Motion Synthesis in the Data-Driven Era". In ISSR 2017.
    • Presenter 1: David Surovik 
    • Paper 2: Rahul Shome and Kostas Bekris. "Improving the Scalability of Asymptotically Optimal Motion Planning for Humanoid Dual-Arm Manipulators". In Humanoids 2017.
    • Presenter 2: Rahul Shome
    November 13, 2017 
    November 20, 2017 
    November 27, 2017 
    December 11, 2017 
    • Paper 1: Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang. "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow". In ICCV 2017.
    • Link 1: https://arxiv.org/pdf/1709.06750.pdf
    • Paper 2: Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun. "Predicting Deeper into the Future of Semantic Segmentation". In ICCV 2017.
    • Link 2: https://arxiv.org/pdf/1703.07684.pdf
    • Presenter: Junchi Liang
    December 18, 2017 
    • Paper: Qualifier Exam: "Anytime and Scalable Motion Planning for Robotic Arms Picking Objects in Clutter".
    • Link: http://pracsyslab.org/rahul.shome
    • Presenter: Rahul Shome