We are immensely proud of the ARIEL team's incredible achievement at RoboSub 2025. This platform, developed entirely by ANSFL students, validates some of our research into modular autonomous systems. We are also deeply grateful for the generous support from all of our sponsors, which made this project possible. It has been a privilege to watch this group of talented students design, build, and innovate from the ground up. This is all while balancing their academic commitments. Placing 20th out of 58 teams in their first year, with a low-cost budget, is a testament to their dedication, resilience, and ingenuity.
This project serves as a key example of how hands-on, research-driven education can lead to outstanding outcomes. The lessons learned here will be integrated into future research, contributing to the broader marine robotics community.
Congratulations to everyone on the team!
Prof. Klein has been selected as the new Head of the Hatter Department of Marine Technologies at The Leon H. Charney School of Marine Sciences, University of Haifa School of Marine Sciences! Prof. Klein aims to strengthen the department's position as a leader in innovative marine technologies research, cultivating an even more inclusive and collaborative academic environment, and preparing our students for the evolving challenges in their careers.
Prof, Klein delivers an engaging lecture on “𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗡𝗼𝗻𝗹𝗶𝗻𝗲𝗮𝗿 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻: 𝗛𝘆𝗯𝗿𝗶𝗱 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗳𝗼𝗿 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻.”
His talk explored how advanced AI models can elevate inertial sensing and sensor fusion — core elements of autonomous systems across land, air, and sea. By integrating neural networks into established estimation frameworks, Prof. Klein showcased how hybrid approaches can address dynamic environments, reduce estimation errors, and enhance reliability.
We exchanged innovative ideas and explored opportunities for joint research projects in the field of navigation. Many thanks to our hosts led by Prof. Thomas Hobiger for the incredibly informative and engaging visit. We truly appreciate your warm hospitality and are excited about the potential for future collaborations!
Many thanks to all the ANSFL team speakers and poster presenters! It was a pleasure to see you perform so well at HiAI, University of Haifa's AI conference. You received many positive comments about your research. Fantastic work! 😊
Overall our lab was represented by six speakers, three posters, one workshop, one session chair, and one conference co-chair. Congratulations to Daniel Engelsman who took first place, and to Aviad Etzion who earned second place in the outstanding talk competition. A huge Congratulations to Netta Palez for winning first place in the poster competition.
Taking place last week in Salt Lake City, the conference was packed with insightful sessions, invaluable networking, and a truly collaborative atmosphere. It was wonderful to reconnect with colleagues and forge new connections. But the highlight for me was undoubtedly watching my two exceptional PhD students deliver outstanding presentations last week:
Nadav Cohen shared his innovative work on Gaussian process regression for improved underwater navigation.
Zeev Yampolsky presented his fascinating research on neural inertial classification networks for pedestrian activity recognition, a collaborative effort with Victoria Khalfin Fekson and Ofir Kruzel Davila.
Their success is a testament to their hard work, dedication, and rigorous research throughout their doctoral studies. We are incredibly proud of their achievements!
We at ANSFL are absolutely thrilled to announce the successful completion of our Robotics and Navigation Workshop! It was a fantastic day filled with insightful discussions, cutting-edge research presentations, and collaboration.
Participants had the opportunity to dive deep into the latest advancements in autonomous systems and intelligent navigation, exploring emerging trends
A special highlight of the workshop was the participation of our esteemed international guests. We extend our deepest gratitude to Prof. Dušan Nemec and Prof. Felipe O. Silva for their exceptional presentations and valuable contributions. Their expertise and insights were truly invaluable and greatly enriched the workshop experience. We are grateful to all international and local speakers: Dr. Cristino de Souza Junior , Juraj Kekelák , Nadav Cohen, Aviad Etzion, Samuel Cohen-Salmon Daniel Engelsman and Zeev Yampolsky.
The workshop provided a platform not only for learning about the latest academic advancements but also for fostering meaningful connections and collaborations among participants. We believe these connections will continue to drive innovation in the field of robotics and navigation.
Thank you to everyone who attended and contributed to making this workshop a resounding success! We look forward to hosting more exciting events in the future.
ANSFL is thrilled to organize and host the Robotics and Navigation Workshop!
This workshop offers an opportunity to delve into state-of-the-art research in robotics and navigation, exploring the latest breakthroughs and emerging trends. We've designed this experience to provide insights into the latest academic advancements, but also to foster discussion and collaboration among participants. Prepare to engage with leading experts and peers as we explore the future of autonomous systems and intelligent navigation. We are delighted to host Prof. Dušan Nemec (University of Žilina, Slovakia) and Prof. Felipe Silva (Federal University of Lavras, Brazil) at the workshop and look forward to their talks.
👉 We are grateful for the Data Science Research Center at the University of Haifa support in this workshop
👉 Time and place: 12/03/25 09:30:13:00, University of Haifa
👉 Participation in the event is free of charge, but requires registration
link: https://vtsociety.org/post/announcement/feature-articles-february-2025
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Authors: Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, and Itzik Klein
Published in volume 5, IEEE Open Journal of Vehicular Technology
This research tackles the challenge of automating construction site operations by teaching heavy machinery like bulldozers and dump trucks to work together without crashing into each other. By using advanced AI techniques, the study trains these machines to independently plan their movements while understanding and avoiding the actions of others. This decentralized approach not only improves safety but also boosts efficiency in tasks like leveling land or transporting materials. What makes it stand out is the use of behavior cloning—a method where machines learn by mimicking expert strategies—to bridge the gap between simulations and real-world construction environments. The study also introduces a novel way for each machine to focus on its unique task while sharing crucial environmental data, creating seamless teamwork. Ultimately, this research represents a leap forward in making construction sites not just smarter, but also safer and more cost-effective.
In recognition of their invaluable contributions to the Israeli IEEE section, Prof. Itzik Klein (Chair, Membership Development) and Mr. Nadav Cohen (Chair, Student Affinity Group) from the University of Haifa's Charney School of Marine Sciences were presented with a special award by Shmuel Auster, Chair of IEEE Israel. This honor, bestowed during the 70th-anniversary celebration of the Israeli IEEE section, underscores their collaborative spirit and their dedication to advancing the goals of the IEEE within the Israeli scientific and technological landscape.
Prof. Klein gave an IEEE Oceanic Engineering Society Distinguished Lecturer Program talk at the Seminar series sponsored by IEEE OES Italy Chapter. The talk highlighted ANSFL's research in autonomous underwater vehicle navigation. This included DVL calibration at sea, enhancing DVL robustness and accuracy, and neural DVL/inertial fusion.
Zeev Yampolsky presented his research on reducing low-cost gyroscope calibration (bias and scale factor) and improving time the calibration accuracy by employing deep learning methods.
We delighted to announce that we were selected by the Israel Innovation Authority as a great recipient. We are grateful for Carmel Haifa University Economic Corp. Ltd support during this process. At the Autonomous Navigation and Sensor Fusion Lab, we develop neural nonlinear navigation filters. In collaboration with Arazim Navigation Systems and with IIA's support, this research will accelerate. Its results will allow low-cost accurate and robust positioning for autonomous vehicles.
We are proud of our amazing graduate students!
Yesterday was a truly special day as we watched six of our amazing graduate students walk across the stage at graduation.
To Shunit Truzman (Magna Cum Laude), Mor Yona (Cum Laude) Orzion Levi (Magna Cum Laude), Ilan Aizelman, Nadav Cohen(Cum Laude), and Aviad Etzion (Cum Laude), your intellectual curiosity, and work have been a privilege to witness. Not only have you achieved significant academic milestones in inertial sensing and robotics (six journal papers and five under review, five papers in conference proceedings, and six international conference talks), but you have also grown into outstanding researchers.
We have no doubt you'll all continue to do incredible things. Congratulations graduates!
The Israel Navigation Systems and Applications conference featured two outstanding PhD students from the ANSFL team:
Nadav Cohen talked about our work on deep learning for the deep sea: data-driven methods for autonomous underwater vehicle navigation.
Daniel Engelsman addressed the exciting field of information-aided inertial navigation.
We excited to share that IAAC annual meeting of graduate students in Systems and Control was held for the first time at the University of Haifa and was a great success.
It was organized by our own Prof. Itzik Klein and featured talks from two of our PhD students:
Daniel Engelsman, Towards Learning-Based Gyrocompassing.
Dan Solodar, VIO-DualProNet: Visual-Inertial Odometry with Learning Based Process Noise Covariance.
In addition, three of our students: Nadav Cohen, Aviad Etzion, and Zeev Yampolsky chaired the sessions during the conference.
Yair Stolero presented his research on reducing low-cost gyroscope calibration time by employing deep learning methods and multiple IMUs
Prof. Klein was honored to chair the session focused on deep-learning navigation for autonomous underwater vehicles. ANSFL three Ph.D. students took center stage and share their research with the world. Their presentations were met with enthusiastic questions and sparked some fascinating discussions.
Nadav Cohen talked on our data-driven strategies for coping with incomplete Doppler velocity log measurements to allow seamless autonomous underwater vehicle navigation.
Zeev Yampolsky addressed Doppler velocity log calibration using our proposed data-driven methods, which allow more accurate and fast calibration process.
Daniel Engelsman introduced a dedicated learning framework aimed at mitigating environmental effects and offering precise underwater gyrocompassing.
Prof. Klein joins the leadership team of DSRC, the Data Science Research Center at the University of Haifa!
Collection Link:
https://link.springer.com/collections/bffibjceih
Editors: Prof. Oren Gal and Prof. Itzik Klein
Scope: Data science has become a vital element in autonomy and navigation, improving decision-making processes and providing accurate navigation capabilities. Additionally, sensory data collected from diverse sensors is a counterstone in developing sophisticated sensor fusion algorithms using deep learning or hybrid methodologies. Advances in real-time processing facilitate faster decision making and obstacle avoidance for autonomous systems that can be operated in very limited hardware computation capacity. Data science continues to be a driving force in autonomy and navigation. It provides the tools and techniques to address these challenges and push the boundaries of what autonomous systems can achieve. This Topical Collection aims at collecting high quality research papers and review articles focusing on recent advances in data-driven based autonomy and navigation.