The workshop will be held on 4st November 2019 in The Venetian Macao, Macau, China in the context of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), one of the largest and highest impact robotics research conferences worldwide.

Manipulating objects autonomously and in unstructured environments is one of the basic skills for robots to support people during everyday life outside industrial cages. The study of autonomous manipulation in robotics aims at transferring human-like perceptive skills to robots so that, combined with state of the art control techniques, they could be able to achieve similar performance in manipulating objects.

The great complexity of this task makes autonomous manipulation one of the open problems in robotics that has been drawing a big interest in the community in the recent years. Conventional approaches attempt to reconstruct the scene using 3D vision and compute agrasping pose that attain force closure constraints, or by querying a database of precomputed or learned poses. More recently, grasping has been addressed using end-to-end learning methods showing great performance. However, these methods require robots to perform thousands of trials. For this reason their application is often focused on simple grippers and scenarios in which images are acquired from a top down view. Manipulation with multi finger hands and mobile robots is unfortunately still out of the scope of these techniques due to the problem complexity.


The aim of this workshop is to discuss and present different techniques proposed for addressing the same problem: object manipulation.

More than a comparison, this workshop is designed to encourage people belonging to different research fields such as robotics and deep learning to share their approaches, ideas and problems regarding autonomous manipulation.

The workshop talks are grouped in three Sections according to the methodology used by the speaker research team to address autonomous manipulation:

Topics of interest

The following list provides a set of topics (keywords) addressed in the workshop.


Workshop Program

Time Activity
9:00 - 9:05 Introduction
Section 1 Learning-free manipulation
09:05 – 09:30 Speaker 1: Lorenzo Natale
09:30 – 10:00 Speaker 2: Oliver Brock
10:00 – 10:30 Speaker 3: Tamim Asfour
10:30 – 11:00 Poster Teasers/ Student papers presentations
11:00 – 11:30 Coffee Break: Poster session
Section 2 Supervised and imitation Learning for manipulation
11:30 – 12:00 Speaker 4: Robert Platt
12:00 – 12:30 Speaker 5: Marcus Vincze
12:30 – 13:00 Speaker 6: TBD
13:00 – 13:30 Speaker 7: TBD
13:30 – 14:30 Lunch Break
Section 3 Deep Reinforcement Learning for manipulation
14:30 – 15:00 Speaker 8: Juxi Leitner
15:00 – 15:30 Speaker 9: Abhishek Gupta
15:30 – 16:00 Speaker 10: TBD
Section 4 Open discussion (across fields)
16:00 – 16:30 Round-table
16:30 – 17:00 Coffee Break poster session

Invited Speakers

Lorenzo Natale, Istituto Italiano di Tecnologia (IIT)

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Oliver Brock, TU Berlin

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Tamim Asfour, Karlsruhe Institute of technology (KIT)

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Robert Platt, Northeastern Universit

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Juxi Leitner, Australian Centre of Excellence for Robotic Vision (ACRV)

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Call for Papers

Information for Authors

All submissions must be in PDF format, following the IEEE conference style in two-columns and be limited to 2 pages, including references and appendix.

All submissions will be peer-reviewed. Accepted papers will be presented during the workshop in a poster session. A number of selected papers will be presented as oral presentations or spotlight talks.

Send your PDF manuscript by email, with the subject including the string [MANIPULATION IROS 2019], to the following emails:

Important Dates

© 2019 Different Approaches, the Same Goal: Autonomout Object Manipulation