Archive for category robotics
Human-following capabilities of robots may become important in assistive robotic applications to facilitate many daily tasks (e.g. carrying personal items or groceries). Robot’s following distance, following angle and acceleration influence the quality of the interaction between the human and the robot by impacting walking efficiency (e.g., pace, flow and unwanted stops), user comfort and robot likability.
Our team gave a presentation at the ICR 2016 conference focusing on Subjective preferences regarding human-following robots: preliminary evidence from laboratory experiments.
- This research effort is led by our graduate student Shanee Honig
- For the person-tracking and following algorithm (Dror Katz & Yael Edan, work in progress) we use the Pioneer LX Robot’s built in camera and a Microsoft Kinect.
- Currently we focus on 3 angles of following: back following (0 degree angle), a 30 degree angle, and a 60 degree angle.
- We use a personal item manipulation (e.g., wallet) to examine how participants engage with the robot. Naturally when participants place a personal item on the robot, they become more engaged with it.
- Come see us at the HCII 2016 where we will present a poster on sensitivity of older users (68 and above) to the quality of interaction, depending on robot’s following distance and acceleration, and the context of walk – Follow Me: Proxemics and Responsiveness Preferences of Older Users in a Human-Following Robot.
ABC Robotics Center (Agricultural, Biological and Cognitive Robotics) at BGU is seeking outstanding students for advanced research in multidisciplinary robotics
All applicants must be skilled in both oral and written communication in English and be able to work independently as well as in collaboration with others.
PhD applicants must have completed an MSc degree in Engineering, Natural Sciences, Computer Sciences or Psychology with a thesis. Experience in artificial intelligence, robotics, cognitive science and programming is an advantage. The application should include a CV, a list of academic grades, a copy of degree project report, a list of publications, three personal references (one from the MSc thesis advisor) and one A4 page describing the personal motivation for applying for this position. Ph.D. candidates must submit a research proposal and pass a qualification exam on their research proposal within the first year of the PhD studies. The PhD thesis should be completed within a 4-year timeframe. The ABC Robotics Ph.D. Scholarship covers tuition fees and a monthly stipend. The candidate will receive a minimum of 6,930 NIS per month for a duration of 4 years.
The ABC Robotics Postdoc Scholarship is 10,116 NIS per month for a duration of 2 years.
Additional requirements and details may be found at: http://in.bgu.ac.il/en/kreitman_school/Pages/admission.aspx
Applicants should send all necessary registration information to Ms. Sima Koram, email: email@example.com as indicated in
and send a copy of their application to: firstname.lastname@example.org
****** Specific research topics are proposed at: www.bgu.ac.il/abc-robotics
Closing date for applications: 30 May 2014 or until all positions are filled. Candidates applying by above closing date will be informed by July 2014.
Starting date: 1 October 2014 or earlier
The ‘RICH’ (Rapid Immersion tools/techniques for Coordination and Hand-offs) research project is a US-Israel collaboration. The project aims to research, design and develop tools, techniques and procedures to aid operators in MOMU environments; to facilitate task switching and/or coordinate with other operators all for the benefit of improving overall mission performance.The Israeli partners on this task are Jacob Silbiger from Synergy Integration, Lt. Col. Michal Rottem-Hovev from the IAF, and Drs. Tal Oron-Gilad and Talya Porat from the Dept. of Industrial Engineering and Management. The US parents are Jay Shively, Lisa Fern (Human Systems Integration Group Leader, Aeroflightdynamics Directorate, US Army Research Development and Engineering Command (AMRDEC)), and Dr. Mark Draper (USAFRL). RICH is part of the US/Israel MOA (mutual operation agreement) on Rotorcraft Aeromechanics & Man/Machine Integration Technology.
Here I describe in brief the goals of the Israeli team and some of the tools developed.
Motivation: Multiple operators controlling multiple unmanned aerial vehicles (MOMU) can be an efficient operational setup for reconnaissance and surveillance missions. However, it dictates switching and coordination among operators. Efficient switching is time-critical and cognitively demanding, thus vitally affecting mission accomplishment. As such, tools and techniques (T&Ts) to facilitate switching and coordination among operators are required. Furthermore, development of metrics and test-scenarios becomes essential to evaluate, refine, and adjust T&Ts to the specifics of the operational environment.
Tools: Tools can be divided into two categories: 1) tools that facilitate ‘quick setup’, i.e., aimed to ease the way of the operator into a new mission or area of operation; and 2) tools that facilitate on-going missions where acquiring new UAVs, delegating, or switching is necessary to complete the tasks at hand. The Israeli team focused primarily on tools of the second type. Some “successful” tools have been the Castling rays (see CHI paper for detail), the TIE/coupling tool, and the Maintain coverage area.
Several outcomes of this effort have been presented and appear in the following conference proceedings.
- Tal Oron-Gilad, Talya Porat, Lisa Fern, Mark Draper, Jacon Silbiger, Michal Rottem Hovev and Jay Shively. Tools and Techniques for MOMU (Multiple Operator Multiple UAV) Environments;” , Human Factors and Ergonomics Society’s 55th Annual Meeting.
- Tal Oron-Gilad, Talya Porat, Jacob Silbiger, and Michal Rottem-Hovev. Decision Support Tools and Layouts for MOMU (multiple operator multiple UAV) Environments. ISAP Dayton OH, May 2-May 5, 2011.
- Talya Porat, Tal Oron-Gilad, Jacob Silbiger, and Michal Rottem-Hovev. Switch and Deliver: Decision Support Tools for MOMV (Multiple Operator Multiple Video feed) Environments, COGSIMA, Miami, FL. Feb. 22-24, 2011.
- Porat T., Oron-Gilad T., Silbiger J, and Hovev M. ‘Castling Rays’ a Decision Support Tool for UAV-Switching Tasks. CHI EA ’10 Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems.
- One way to enhance soldiers’ orientation and SA is by adding various sources of information (including feeds from unmanned systems) to generate a broader perspective of the environment.
This is a demonstration of a key-hole effect, where it may be difficult to determine where in the map (left) the feed shown from the UAV is located.
- Researchers and practitioners have recently begun to examine the use of several types of unmanned systems combined.
- In order to do this well, it is important to minimize the visual load imposed on the soldier, a load that is obviously increasing due to multiple parallel displays.
- Additional views can increase operator comprehension of the situation but may also cause overload and confusion. Often, too many choices, characteristics and applications may even harm the operator as much as lack of choices.
Our effort aims to examine the needs of dismounted soldiers in a multiple video feed environment (i.e., more than one source of information can be provided at a time) and to identify displays devices and interfaces that can support dismounted soldiers in such more complex intelligence gathering missions.
Combining UAV and UGV feed.
- UAVs are meant to deliver the “larger” picture and are necessary for orientation tasks.
- UGVs are meant to deliver a more focused and specific image.
- Combination of the two should be advantageous when information is complex or ambiguous e.g., one may want to detect a target and then identify its features in more detail.
This is an example of a combined display, where both UAV and UGV video feeds are shown in addition to the aerial map. Waypoints of interest are marked on the map.
Coming soon – experimental results of attentional allocation and performance on intelligence gathering tasks in such displays.