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ELLIS Delft Talk by Javier Alonso-Mora

ELLIS Delft Talk by Javier Alonso-Mora 12 April 2022 16:00 (NOTE: the meeting moved from 5th -> 12th) This will be a hybrid meeting This meeting is open for all interested researchers. Motion Planning among Decision-Making Agents: Trajectory Optimization with Learned Cost Functions Abstract We move towards an era of smart cities, where autonomous vehicles will provide on-demand transportation while making our streets safer and mobile robots will coexist with humans. The motion plan of mobile robots and autonomous vehicles must, therefore, account for the interaction with other agents and consider that they are, as well, decision-making entities. For example, when humans drive a car, they are fully aware of their environment and how other drivers and pedestrians may react to their future actions. Towards this objective I will discuss several methods for motion planning and multi-robot coordination that leverage constrained optimization and reinforcement learning to achieve interactive behaviors with safety guarantees. Namely: using inverse reinforcement learning and social value estimation to achieve social behaviors; employing a learned policy to guide the motion planner in dense traffic scenarios or for information gathering; achieving social trajectories by learning a cost function from a dataset of human-driven vehicles; and learning to communicate the relevant information for multi-robot coordination. The methods are of broad applicability, including autonomous vehicles and aerial vehicles. Bio Javier Alonso-Mora is an Associate Professor at the Department of Cognitive Robotics of the Delft University of Technology, the director of the Autonomous Multi-robots Laboratory, a Principal Investigator at the Amsterdam Institute for Advanced Metropolitan Solutions and co-founder of The Routing Company. Previously, he was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) of the Massachusetts Institute of Technology. He received his Ph.D. degree in robotics from ETH Zurich, in partnership with Disney Research Zurich. He serves as associate editor for Springer Autonomous Robots, and has served as associate editor for the IEEE Robotics and Automation Letters, the Publications Chair for the IEEE International Symposium on Multi-Robot and Multi-Agent Systems 2021 and associate editor for ICRA, IROS and ICUAS. He is the recipient of several prizes and grants, including an ERC Starting Grant (2021), the ICRA Best Paper Award on Multi-robot Systems (2019), an Amazon Research Award (2019) and a talent scheme VENI award from the Netherlands Organisation for Scientific Research (2017). More info: https://www.autonomousrobots.nl/ To join this event, please contact Frans Oliehoek .

van Duijvenbode, J.R.

Profile TU Delft (2018 – current) Ph.D. candidate in Resource Engineering I obtained a MSc degree in the European Mining Course (EMC) from Delft University of Technology, Aalto University and RWTH Aachen. My master thesis was about: Development and Validation of Short-term Mine Planning Optimization Algorithms for a Sublevel Stoping Operation with Backfilling. Research PhD research into the behavioural Geology – Understanding how differences in geology influence metallurgical performance. The research topic consists of integrating collected information on metallurgical properties, directly or through proxies back into the resource model. The consideration of metallurgical costs is the only way forward to obtain truly optimized mining decisions, accounting for constraints and bottlenecks in the comminution circuit and chemical processing plant. This is important to better characterize metallurgical behavior of the plant feed, which allows for a morel optimal selection of process control settings. The envisioned solution will result in an increased recovery in combination with a lower utilization of energy and chemicals per tonne of processed material (lower environmental footprint). Consequently, overall OPEX will drop making lower grade ore economic while increasing the mineral resources that are available for conversion to ore reserves (lesser need to open up new mines). Moreover, a better characterization of mining blocks reduces the unintended processing of waste due to lower overall classification errors. Copromotor: Dr. M. Soleymani Shishvan Promotor(s): Dr. M. Buxton and Prof. Jan Dirk Jansen Jeroen van Duijvenbode PhD Candidate + 31 15 27 82262 J.R.vanDuijvenbode@tudelft.nl Faculty of Civil Engineering and Geosciences Building 23 Stevinweg 1 / PO-box 5048 2628 CN Delft / 2600 GA Delft Room number: 3.21

ELLIS Delft Talk by Guillaume Rongier

ELLIS Delft Talk by Guillaume Rongier Going beyond empirical relationships in geology: The example of total organic carbon 01 February 2022 16:00 Abstract While machine learning has a long history in geology, empirical relationships remain widely used. Through the example of total organic carbon (TOC), this talk will illustrate the close links between empirical relationships and machine learning, and the benefits of turning to machine learning. TOC is a measure of the proportion of organic carbon in rock samples typically gathered from boreholes. It can be used to assess the potential for hydrocarbons, understand rock mechanics, or assess reducing conditions for basin-hosted mineral systems, and is paramount when seeking to understand variations in paleo-environmental conditions. Since gathering and analyzing rock samples is expensive, empirical relationships have been developed to predict TOC from well logs, which are based on more widely available geophysical measurements into boreholes. Those empirical relationships come from geological and petrophysical principles implemented in mathematical models manually fitted to the data. This leads to several limitations, mainly poor generalization, inability to quantify uncertainties, time-consuming and subjective calibration that leads to reproducibility issues. But those empirical relationships can be rewritten as linear regressions, a simple change that solves many of the previous limitations. Turning to more advanced machine learning methods improves predictions by taking into account the non-linearity and variability in the data. Using the expert knowledge behind empirical relationships as input besides well logs improves the predictions as well: this shows that leveraging geological and petrophysical concepts through feature selection and engineering boosts machine learning performances. To join this event, please contact Frans Oliehoek .

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A key solution to grid congestion

On behalf of the TU Delft PowerWeb Institute, researchers Kenneth Brunninx and Simon Tindemans are handing over a Position Paper to the Dutch Parliament on 14 November 2024, with a possible solution to the major grid capacity problems that are increasingly cropping up in the Netherlands. The Netherlands is unlikely to meet the 2030 climate targets, and one of the reasons for this is that large industry cannot switch to electricity fast enough, partly because of increasingly frequent problems around grid capacity and grid congestion. In all likelihood, those problems will actually increase this decade before they can decrease, the researchers argue. The solution offered by the TU Delft PowerWeb Institute researchers is the ‘flexible backstop’. With a flexible backstop, the current capacity of the power grid can be used more efficiently without sacrificing safety or reliability. A flexible backstop is a safety mechanism that automatically and quickly reduces the amount of electricity that an electric unit can draw from the grid (an electric charging station or a heat pump) or deliver (a PV installation). It is a small device connected or built into an electrical unit, such as a charging station or heat pump, that ‘communicates’ with the distribution network operator. In case of extreme stress on the network, the network operator sends a signal to the device to limit the amount of power. Germany recently introduced a similar system with electric charging stations. The backstop would be activated only in periods of acute congestion problems and could help prevent the last resort measure, which is cutting off electricity to users. ‘Upgrading the electricity network remains essential, but in practice it will take years. So there is a need for short-term solutions that can be integrated into long-term planning. We, the members of the TU Delft PowerWeb Institute, call on the government, network operators and regulator to explore the flexible backstop as an additional grid security measure,’ they said. The entire Paper can be read here . Kenneth Brunninx Associate Professor at the Faculty of Engineering, Governance and Management, where he uses quantitative models to evaluate energy policy and market design with the aim of reducing CO2 emissions. Simon Tindemans is Associate Professor in the Intelligent Electrical Power Grids group at Faculty of Electrical Engineering, Mathematics and Computer Science. His research interests include uncertainty and risk management for power grids. TU Delft PowerWeb Institute is a community of researchers who are investigating how to make renewable energy systems reliable, future proof and accessible to everyone.

25 year celebration of formal collaboration between Delft University of Technology and the University of Campinas

On 25 October 2024 we celebrated 25 years of formal collaboration between Delft University of Technology and the University of Campinas. What began as a project to exchange some students in chemical engineering has now grown to a multifaceted and broad academic collaboration which accumulated into 24 joint research projects (>20 M Euro); 16 advanced courses and 15 Doctors with a Dual Degree PhD. Patricia Osseweijer, TU Delft Ambassador Brazil explained, “We are proud to show and reflect on this special day the added value we created resulting from our joint activities. The lessons we learned demonstrate that especially continuity of funds and availability for exchanges has contributed to joint motivation and building trust which created strong relations. This is the foundation for academic creativity and high-level achievements.” The program presented showcases of Dual Degree projects; research activities and education. It discussed the future objectives and new fields of attention and agree on the next steps to maintain and strengthen the foundation of strong relations. Telma Franco, Professor UNICAMP shared that “joint education and research has substantially benefitted the students, we see that back in the jobs they landed in,” while UNICAMP’s Professor Gustavo Paim Valenca confirmed that “we are keen to extend our collaboration to more engineering disciplines to contribute jointly to global challenges” Luuk van der Wielen highlighted that “UNICAMP and TU Delft provide valuable complementary expertise as well as infrastructures to accelerate research and innovation. Especially our joint efforts in public private partnerships brings great assets” To ensure our future activities both University Boards have launched a unique joint program for international academic leadership. This unique 7-month program will accommodate 12 young professors, 6 from each university. The programme began on 4 November 2024 in Delft, The Netherlands.

Christmas lunch

Take part in a festive lunch with MoTiv, TU Delft Studentenraad en TU Delft ESA This holiday season, MoTiv, TU Delft, and the local Delft churches are bringing together homes and students for a special, heartwarming experience, and we would love for you to be part of it! After three successful years, we’re excited to continue this festive tradition, bridging cultures and creating connections. Are you interested in joining a holiday lunch as a guest , along with other international students, in a welcoming Delft-area home? Or perhaps you’d like to open your home as a host , sharing a warm, cultural celebration with students from around the world? This special event will take place from December 23rd to December 31st, between 12:00 and 15:00 . For Guests : If you’d like to participate as a guest, we’ll match you with a local host eager to share their holiday traditions. You’ll enjoy delicious dishes, laughter, and meaningful conversations, creating memories that feel like home, even far from family. Once matched, we’ll connect you with your host so you can coordinate details and meal plans together. Sign up as a guest in this google forms.(https://forms.gle/yLAqE83DcqWGwcKB8) For Hosts : If you’re interested in hosting, this is a wonderful opportunity to welcome students into your home for a memorable meal. By sharing food, stories, and perhaps even a few games, you’ll help make the season brighter for students eager to experience Dutch hospitality and holiday traditions. Sign up as a host in this google forms.( https://forms.gle/bJB5svxJZ1iTSF1c6 ) For any questions, feel free to reach out to us at motiv.connects@gmail.com. For more information, please visit our website at www.motiv.tudelft.nl/christmas-lunch-delft/ . Thank you for making this holiday season unforgettable. We look forward to celebrating with you! Warm regards, MoTiv, TU Delft Student Council, TU Delft ESA - Student Community Team