RSS-TIG2: Robotic Science and System: workshop on Task-Informed Grasping (TIG-II) Messe Freiburg Freiburg, Germany, June 22-25, 2019 |
Conference website | https://lcas.lincoln.ac.uk/wp/tig-ii/ |
Abstract registration deadline | June 2, 2019 |
Submission deadline | June 8, 2019 |
The Robotics: Science and Systems is one of the most impacting robotics research conferences worldwide. It has a long history of bringing together researchers in all areas of robotics from around the world for an engaging and focused week of single-track presentations, workshops, poster sessions, tutorials, and fun! This year, once again, we solicit your best work.
This workshop on "Task-Informed Grasping (TIG-II): From Perception to Physical Interaction" is held on the first day of RSS 2019 (22/06/2019).
Robots need to physically interact with their environment to perform the desired manipulative tasks for efficient functioning in our society. Such interactions, e.g. grasping, require complex cognitive processes such as to perceive, plan, predict and to act. In robotic research, each of these sub-problems of grasping is typically considered in isolation. This is in contrast to the finding in cognitive science research on primates. Hence, robots are still far away from primates grasping ability. For instance, current robotic approaches separately detect an object in an image, segment it, synthesis grasp configuration using geometrical features of the perceived point cloud of the object, plan the manipulative movements, and perform the actions to deliver the object at the desired pose. This sequential open-loop pipeline of grasping and manipulative movements is not robust as a task constraint does neither influence the grasping, segmentation nor object detection whereas each of these components directly determines limitation on the solution space of the subsequent ones. In this workshop, we would like to discuss task-informed perception, grasping and manipulation, and the critical role of cognition. Specifically, the robot performs active perception to gain information sufficient for synthesising the grasps that facilitate performing the desired task. In such scenarios, the robot actively perceives the state of the environment and evaluates its actions to guarantee its own success across all the components of the manipulation task. This allows the robot to find a solution to each component of the manipulation pipeline that provides sufficient initial conditions for successfully performing the successive tasks in the pipeline; otherwise, for example, a grasp choice does not allow manipulative movements.
Topics of interest include (but not limited to):
- Deep learning for task-informed grasping
- Affordance informed grasping
- Grasping and manipulative movements in cluttered environments
- Task driven robotic perception
- Active perception
- joint planning of grasping pose and manipulative movements
- Benchmarking and dataset for grasping and manipulation
- Challenges of soft manipulation
Submission Guidelines:
Deadline: 8 June 2019
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Extended abstract (maximum 2 pages) will be accepted for poster presentation at this workshop.
- Full papers Contributed papers (maximum 6 pages) will be accepted based on their quality, originality, and relevance to the workshop. Authors of selected papers may be asked to submit extended versions of their papers for an RA-L special issue. Submitted papers should not be under consideration for publication anywhere else. Submission of papers and review process will be handled through EasyChair conference management system. Submissions should follow the RSS format.
Please submit your paper by emailing it to erl.uobham@gmail.com
Accepted papers will be available online on the workshop webpage.
Committees
Organizing committee
- Dr Amir Masoud Ghalamzan Esfahani, Senior Lecturer, University of Lincoln
- Dr Hamidreza Kasaei, Assistant Professor, University of Groningen, Netherlands
- Prof. Gerhard Neuman, Bosch Center for Artificial Intelligence
Contact
All questions about submissions should be emailed to aghalamzanesfahani@lincoln.ac.uk