Privacy Statement (EU)

This privacy statement was last updated on 12 October 2021 and applies to citizens and legal permanent residents of the European Economic Area.

In this privacy statement, we explain what we do with the data we obtain about you via https://erf2022.eu. We recommend you carefully read this statement. In our processing we comply with the requirements of privacy legislation. That means, among other things, that:

  • we clearly state the purposes for which we process personal data. We do this by means of this privacy statement;
  • we aim to limit our collection of personal data to only the personal data required for legitimate purposes;
  • we first request your explicit consent to process your personal data in cases requiring your consent;
  • we take appropriate security measures to protect your personal data and also require this from parties that process personal data on our behalf;
  • we respect your right to access your personal data or have it corrected or deleted, at your request.

If you have any questions, or want to know exactly what data we keep of you, please contact us.

1. Purpose, data and retention period

We may collect or receive personal information for a number of purposes connected with our business operations which may include the following: (click to expand) 

2. Cookies

Our website uses cookies. For more information about cookies, please refer to our Cookie Policy.  We have concluded a data Processing Agreement with Google. 

3. Security

We are committed to the security of personal data. We take appropriate security measures to limit abuse of and unauthorised access to personal data. This ensures that only the necessary persons have access to your data, that access to the data is protected, and that our security measures are regularly reviewed. 

4. Third-party websites

This privacy statement does not apply to third-party websites connected by links on our website. We cannot guarantee that these third parties handle your personal data in a reliable or secure manner. We recommend you read the privacy statements of these websites prior to making use of these websites. 

5. Amendments to this privacy statement

We reserve the right to make amendments to this privacy statement. It is recommended that you consult this privacy statement regularly in order to be aware of any changes. In addition, we will actively inform you wherever possible. 

6. Accessing and modifying your data

If you have any questions or want to know which personal data we have about you, please contact us. You can contact us by using the information below. You have the following rights:

  • You have the right to know why your personal data is needed, what will happen to it, and how long it will be retained for.
  • Right of access: You have the right to access your personal data that is known to us.
  • Right to rectification: you have the right to supplement, correct, have deleted or blocked your personal data whenever you wish.
  • If you give us your consent to process your data, you have the right to revoke that consent and to have your personal data deleted.
  • Right to transfer your data: you have the right to request all your personal data from the controller and transfer it in its entirety to another controller.
  • Right to object: you may object to the processing of your data. We comply with this, unless there are justified grounds for processing.

Please make sure to always clearly state who you are, so that we can be certain that we do not modify or delete any data of the wrong person.

 

7. Submitting a complaint

If you are not satisfied with the way in which we handle (a complaint about) the processing of your personal data, you have the right to submit a complaint to the Data Protection Authority. 

8. Contact details

Ab Initio
Zomereik 38
2498 BR Den Haag
The Netherlands
Netherlands
Website: https://erf2022.eu
Email: c.francken@tudelft.nl
Phone number: +31152784761

Annex

What personal data we collect and why we collect it

Security Logs

The IP address of visitors, user ID of logged in users, and username of login attempts are conditionally logged to check for malicious activity and to protect the site from specific kinds of attacks. Examples of conditions when logging occurs include login attempts, log out requests, requests for suspicious URLs, changes to site content, and password updates. This information is retained for 60 days.

Who we share your data with

When running Security Check, ithemes.com will be contacted as part of a process to determine if the site supports TLS/SSL requests. No personal data is sent to ithemes.com as part of this process. Requests to ithemes.com include the site's URL. For ithemes.com privacy policy details, please see the iThemes Privacy Policy.

This site is scanned for potential malware and vulnerabilities by the iThemes Site Scanner. We do not send personal information to the scanner; however, the scanner could find personal information posted publicly (such as in comments) during the scan.

How long we retain your data

Security logs are retained for 60 days.

Where we send your data

This site is part of a network of sites that protect against distributed brute force attacks. To enable this protection, the IP address of visitors attempting to log into the site is shared with a service provided by ithemes.com. For privacy policy details, please see the iThemes Privacy Policy.  

Really Simple SSL

Really Simple SSL and Really Simple SSL add-ons do not process any personal identifiable information, so the GDPR does not apply to these plugins or usage of these plugins on your website. You can find our privacy policy here.

Akismet

We collect information about visitors who comment on Sites that use our Akismet anti-spam service. The information we collect depends on how the User sets up Akismet for the Site, but typically includes the commenter's IP address, user agent, referrer, and Site URL (along with other information directly provided by the commenter such as their name, username, email address, and the comment itself). 

ABB-Robotics

ABB Robotics & Discrete Automation is a pioneer in robotics, machine automation and digital services, providing innovative solutions for a diverse range of industries, from automotive to electronics to logistics. As one of the world’s leading robotics and machine automation suppliers, we have shipped more than 500,000 robot solutions. We help our customers of all sizes to increase productivity, flexibility and simplicity and to improve output quality. We support their transition towards the connected and collaborative factory of the future. ABB Robotics & Discrete Automation employs more than 10,000 people at over 100 locations in more than 53 countries.

PAL Robotics

Since 2004, we have developed state-of-the-art robots specially designed to solve your needs. Today we are known for our humanoid robots REEM-C, TALOS, TIAGo and ARI, as well as our retail and manufacturing solutions, TIAGoBase and StockBot. We also offer a range of customizable robotic components. Our mission is to enhance people’s quality of life through service robotics and automation technologies. We design and manufacture highly integrated and reliable solutions for service industries and research institutions worldwide. We have sold our robotic platforms in more than 30 countries and all platforms are designed and manufactured in Europe. PAL Robotics is one of the founding members of the EU Robotics association, we are also involved in numerous collaborative projects.

Website:
www.pal-robotics.com

Contact Details:
Sofia Battilana
sofia.battilana@pal-robotics.com

Saxion Mechatronics

The Research Group of Mechatronics at Saxion University of Applied Sciences is the applied research group that has a strong track record in developing innovative and applicable technologies in the field of Unmanned Robotic Systems and Smart Industrial Systems using modular functional building blocks and systems engineering design methodologies. All our research activities are demand driven and focus on applied robotics, mechatronics and artificial intelligence. As the co-founder of T-Valley (technology cluster) and Space53 (innovation cluster for unmanned system), the research group has been playing an instrumental role in knowledge transfer and bridging the gap between fundamental research and industries through innovative and applicable technology development.
Some of the developed technologies include Artificial intelligence enabled autonomous indoor/outdoor navigation of mobile manipulators (Robust 2D/3D indoor/outdoor SLAM, optimal path planning, robust motion controllers, advanced perception and cognition capabilities, robust algorithms for vision-based target object manipulation (target identification, localization and manipulation), Cobots (algorithms for adaptive and safe collaboration of robots with humans) and machine vision. The group is also known for the design and development of modular and robust robotic prototypes, including parametric modular manipulators with specialized end-effectors, mini to mega aerial as well as ground robots and smart drone-docking station technology. These technologies have been developed in a framework of international as well as national and (euro)regional collaborative projects between the research group, public institutions, and innovative companies. They have also been successfully demonstrated in operational environments for a wide range of applications, such as agriculture, inspection & maintenance, safety & security and smart manufacturing.
The Research Group is the largest research group at Saxion University of Applied Sciences with more than 30 researchers, 20 projects in which more than 100 companies and over 300 students/year are involved.

Website:
https://www.saxion.nl/mechatronics

Contact details:
Professor dr. ir. Abeje Y. Mersha
a.y.mersha@saxion.nl

DIH2

DIH² believes in the power of robotics to transform the agility of manufacturing in Small and Medium-sized Enterprises (SMEs) and to drive economic growth across the European Union. Our role is to facilitate the connections that enable agile production in factories, where speed and versatility are essential to satisfy customer demand.”

Website:
http://www.dih-squared.eu/

Contact details:
Ali Muhammad
ali.muhammad@eurodyn.com

Intrinsic

Intrinsic is a robotics software and AI company at Alphabet, with a mission to make industrial robotics accessible and usable for millions more businesses, entrepreneurs, and developers. They are a multidisciplinary team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Website:
https://www.intrinsic.ai/

Contact details:
Lien Swings
lienswings@intrinsic.ai

Kuka

KUKA is a global automation corporation with sales of around 2.6 billion euro and roughly 14,000 employees. The company is headquartered in Augsburg, Germany. As one of the world’s leading suppliers of intelligent automation solutions, KUKA offers customers everything they need from a single source: from robots and cells to fully automated systems and their networking in markets such as automotive, electronics, metal & plastic, consumer goods, e-commerce/retail and healthcare.

Website:
https://www.kuka.com/

Contact details:
Vanessa Libal
vanessa.libal@kuka.com

NORCE

NORCE is a non-profit private research institute established in 2017 as a merger of the institutes Agderforskning AS, Christian, Michelsen Research AS, International Research Institute of Stavanger AS, Northern Research Institute, Teknova AS and Uni Research AS. The headquarter is in Bergen (Norway) in addition to more than 15 branches and laboratories distributed all over Norway. For an annual turnover over 100 M€, more than 900 scientists and engineers drive interdisciplinary research activities for industrial, societal, climate, environment, energy and health. NORCE operates in markets including energy (Oil & Gas, offshore wind, solar), in maritime (e.g. aquaculture, autonomous systems, sea biology) in transport (e.g. maritime, drones, mobility in cities and highways), climate (e.g. carbon capture and storage /use), in land-based industries (e.g. process industries for metal, chemical and food production, manufacturing) and for health and societal challenges and in enabling technologies (e.g. robotics, industrial automation, machine vision and artificial intelligence).

Website:
https://www.norceresearch.no/en

Contact Details:
Nabil Belbachir
nabe@norceresearch.no

BlueBotics

At BlueBotics we help companies meet the challenge of vehicle automation. We provide the ANT® navigation technology and expert support they need to bring their AGV, automated forklift or mobile robot successfully to market.

Website:
http://www.bluebotics.com

Contact Details:
Email: info@bluebotics.com 

Robotnik

Robotnik designs, manufactures and markets autonomous and collaborative mobile robots and mobile manipulators.Our company was founded in 2002 and we are currently a reference company in mobile robotics worldwide and leaders in Europe. We have sold more than 5.000 robots for R&D and industrial sectors such as logistics or inspection and maintenance, among others. Our technology, professionalism and quality in the products and services offered, have made us become present in the main international markets: Korea, Japan, China, Singapore, USA, France, Germany or Italy.

We are certified in:
ISO9001:15 – Design, manufacturing and commercialization of products and systems based on robotic technology.
INNOVATIVE SME – SMEs with character and capacity for innovation.
OHSAS 18001:2007 – Occupational Health and Safety Management Systems

Website:
https://www.robotnik.eu

Contact Details:
Sales Manager: Néstor Bolinches
nbolinches@robotnik.es

Shadow Robotics

Britain’s longest-running robot company building next-generation robot hands and systems. Shadow is best known for its Dexterous Hand, the world’s most advanced robot hand, reproducing, as closely as possible, the kinematics and dexterity of a human hand. The company is also a pioneer in the fast-developing fields of teleoperation and telepresence with their Tactile Telerobot, where the Shadow Hand is combined with sensors and controlled via a haptic glove for touch feedback. Shadow’s technology is designed to help humans in difficult or dangerous jobs – such as nuclear decommissioning, pharma labs and remote maintenance tasks.

Website:
https://www.shadowrobot.com/

Contact Details:
Alexandra Winning
Shadow Robot Company Ltd
Unit 31, Spectrum House
32-34 Gordon House Rd
London NW5 1LP, U.K.
email: alex@shadowrobot.com

I AM

I.AM. is an intense collaboration between 9 partners, developing algorithms and solutions for impact aware manipulation in logistics. I.AM is tackling the challenge of reducing the cycle time (and footprint) in take-and-put operations in logistics by exploiting dynamic manipulation, allowing for intentional robot-object-environment collisions. The I.AM partners are: Eindhoven University of Technology, Ecolé Polytechnique Fédérale de Lausanne, Technische Universität München, Centre National de la Recherche Scientifique, Algoriyx Simulation, Franka Emika, Smart Robotics and Vanderlande Industries.

ITK

ITK Engineering GmbH is an internationally operating technology company that supports customers across all industries with the development of tailor-made systems including software, hardware, and mechatronics. In the healthcare business unit, which is certified according to EN ISO 13485:2016, ITK Engineering implements standards-compliant system and software solutions for medical products on its own responsibility up to the finished OEM product – from medical robotics, embedded real-time systems, web and desktop applications, medical apps, cloud-based patient solutions, and data analytics up to hardware and electronic controls for medical devices.

Rocking Robots

Independent newsplatform RockingRobots.com tells the story of humans, robots and artificial intelligence. More than ever, technology affects society as a whole, from people and companies to government and healthcare. We follow the digital transformation and the people shaping the new world.

Website:
https://www.rockingrobots.nl/

Contact Details:
Marco van der Hoeven, Editor-in-Chief
marco@rockingrobots.com

Cyrill Stachniss

Deep learning / AI for robotics and ADvanced Perception

Bio
Cyrill Stachniss is a full professor at the University of Bonn and heads the Photogrammetry and Robotics Lab. Before his appointment in Bonn, he was with the University of Freiburg and the Swiss Federal Institute of Technology. Since 2010 a Microsoft Research Faculty Fellow and received the IEEE RAS Early Career Award in 2013. From 2015-2019, he was senior editor for the IEEE Robotics and Automation Letters. Together with his colleague Heiner Kuhlmann, he is a spokesperson of the DFG Cluster of Excellence “PhenoRob” at the University of Bonn. In his research, he focuses on probabilistic techniques for mobile robotics, perception, and navigation. The main application areas of his research are autonomous service robots, agricultural robotics, and self-driving cars. He has co-authored over 250 publications, has won several best paper awards, and has coordinated multiple large research projects on the national and European level.

Website:
https://www.ipb.uni-bonn.de/

Alin Albu-Schäffer

Compliance and Oscillations in Robotics – on Bad and Good Vibrations

Abstract
In the early days of robotics, hardware compliance used to be regarded as a drawback, reducing the positioning and tracking precision of robots and causing undesired vibration, hard to address by control. Meanwhile, a certain level of compliance, even a mechanically adjustable one, is widely regarded as indispensable for interaction with humans and for skillful manipulation in contact with stiff environments. Also in legged locomotion, inspired by the biological archetypes, many roboticists exploit elasticity for robustness and energy efficiency. At latest here, the complex oscillations of multi-body, compliant systems are not any more parasitic and unwanted, but become an essential feature for achieving performance. However, for treating these highly nonlinear oscillations, new mathematical tools are required, which are currently a topic of intensive research. The talk will give an overview on the evolution of the robotics perspective on compliance and nonlinear oscillations both from hardware design and from control point of view. It will therefore present several examples of DLR robots for manipulation and locomotion in various application areas.

Bio
Alin Albu-Schäffer received his M.S. in electrical engineering from the Technical University of Timisoara, Romania in 1993 and his Ph.D. in automatic control from the Technical University of Munich in 2002. Since 2012 he is the head of the Institute of Robotics and Mechatronics at the German Aerospace Center (DLR), which he joined in 1995 as a Ph.D. candidate. Moreover, he is a professor at the Technical University of Munich, holding the Chair for “Sensor Based Robotic Systems and Intelligent Assistance Systems” at the Computer Science Department. His personal research interests include robot design, modeling and control, nonlinear control, flexible joint and variable compliance robots, impedance and force control, physical human-robot interaction, bio-inspired robot design and control. He received several awards, including the IEEE King-Sun Fu Best Paper Award of the Transactions on Robotics in 2012 and 2014; several ICRA and IROS Best Paper Awards as well as the DLR Science Award. He was strongly involved in the development of the DLR light-weight robot and its commercialization through technology transfer to KUKA.

VanDerLande

Vanderlande is the global market leader for future-proof logistic process automation at airports, and in the parcel market. The company is also a leading supplier of process automation solutions for warehouses.

Website:
https://www.vanderlande.com/

Contact details:
Stijn de Looijer
Vanderlandelaan 2
5466 RB Veghel
The Netherlands
stijn.de.looijer@vanderlande.com

Dr. Rachid Alami

On Decisional issues for Human-Robot Joint Action

Abstract
This talk will address some key decisional issues that are necessary for a cognitive and interactive robot which shares decision, space and tasks with humans. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. The system is comprehensive since it aims at dealing with a complete set of abilities articulated so that the robot controller is effectively able to conduct in a flexible and fluent manner a human-robot joint action seen as a collaborative problem solving and task achievement. These abilities include geometric reasoning and situation assessment based essentially on perspective-taking and affordances, management and exploitation of each agent (human and robot) knowledge in a separate cognitive model, human-aware task planning and interleaved execution of shared plans. We will also discuss the key issues linked to the pertinence and the acceptability by the human of the robot behaviour, and how this influence qualitatively the robot decisional, planning, control and communication processes.

Short bio
Dr. Rachid Alami is Senior Scientist at LAAS-CNRS. He received an engineer diploma in computer science in 1978 from ENSEEIHT, a Ph.D in Robotics in 1983 from Institut National Polytechnique and an Habilitation HDR in 1996 from Paul Sabatier University He contributed and took important responsibilities in several national, European and international research and/or collaborative projects (EUREKA: FAMOS, AMR and I-ARES projects, ESPRIT: MARTHA, PROMotion, ECLA, IST: COMETS, IST FP6 projects: COGNIRON, URUS, PHRIENDS, and FP7 projects: CHRIS, SAPHARI, ARCAS, SPENCER, H2020: MuMMER , France: ARA, VAP-RISP for planetary rovers, PROMIP, several ANR projects).

His main research contributions fall in the fields of Robot Decisional and Control Architectures, Task and motion planning, multi-robot cooperation, and human-robot interaction.

Rachid Alami holds the Academic Chair of Cognitive and Interactive Robotics at the Artificial and Natural Intelligence Toulouse Institute (ANITI)

Website:
https://aniti.univ-toulouse.fr
https://www.laas.fr/public/

Frederic P. Schuller

Mathematics for Robotics

Bio
Frederic P. Schuller is an expert on the applications of differential geometry in physics and engineering. He obtained a Master of Advanced Studies in Mathematics and a PhD in Applied Mathematics and Theoretical Physics from the University of Cambridge, working in S. W. Hawking’s general relativity group with G. W. Gibbons. He was subsequently a Postdoctoral Fellow at the Perimeter Institute for Theoretical Physics in Canada and a Researcher at the Albert Einstein Institute (Max Planck Institute of Gravitational Physics) in Germany and held professorial positions in various countries before moving to an Associate Professorship at the Department of Applied Mathematics at the University of Twente. For his internationally known advanced lecture courses on differential geometry, quantum mechanics and general relativity and his supervision of research students he received numerous awards, including the 2016 Ars Legendi Prize as Germany’s top physics lecturer.