DARKO project

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And later today: a data-efficient and explainable method for very long term human motion prediction -- upwards of a minute (MoBT18.7)

A way to make robots navigate more smoothly around people, by taking into account multimodal human predictions in a better way (MoAT3.4) @_lukasheuer

Lot's of DARKO activities at #IROS2023 this week:

Just a few weeks away from #ICRA2022! During it, we will have our 4th Workshop on Long-term Human Motion Prediction! The hybrid event will feature a set of interesting talks from different communities. Looking forward to meeting you all there! More info at motionpredictionicra2022.github.io

The first DARKO robot has arrived at @orebrouni, just in time for our integration sprint. It was great fun to have all the partners get together to boost the integration of all components on the robot and in simulation! darko-project.eu/gallery/

New Job Opportunity in L-CAS: Lecturer / Senior Lecturer (tenured) in Robotics and Autonomous Systems lcas.lincoln.ac.uk/wp/new-job-opp…

#knowingtheteam Stefano Angeli, from @CPiaggioUniPisa developmens and designs gripping #tools capable of throwing objects itself beyond the working area of ​​the #robot,thus making the #logistic process more efficient, as well as in the #development of optimal control strategies

Read our latest paper "High-Level Planning for Object Manipulation With Multi Heterogeneous Robots in Shared Environments", writte by: Alessandro Palleschi, Mathew Jose Pollayil and Lucia Pallottino: ieeexplore.ieee.org/document/96919… @CPiaggioUniPisa

Our article,"Information-aware Lyapunov-based MPC in a feedback-feedforward control strategy for autonomous robots" has been accepted! Here's the link: ieeexplore.ieee.org/document/97078…

#knowingtheresearchers Giorgio Grioli phd is the new entry into the Darko Project! He will go into the planning and control of mobile robots in the risk space in dark stores. Welcome on board!

Our new article, Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data, has been accepted! Follow the link: ieeexplore.ieee.org/document/96899… And watch the video: youtube.com/watch?v=Tvl_5n… @DII_Pisa @CPiaggioUniPisa @Unipisa @PoliTOnews

Our new article, Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data, has been accepted! Follow the link: ieeexplore.ieee.org/document/96899… And watch the video: youtube.com/watch?v=Tvl_5n… @DII_Pisa @Unipisa @PoliTOnews

Science fiction or science fact? In DARKO we develop object-throwing robots with people skills. bosch.com/stories/darko-…

Anticipating human motion is a key skill for intelligent systems that share a space or interact with humans. To learn more, join the DARKO-supported workshop on Long-term Human Motion Prediction at ICRA 2022 conference.

Coming up: stakeholder workshop with @eu_trinity to discuss cross-usecase challenges and requirements in agile production

Selecting challenging items from a spare parts warehouse to develop novel perception, grasping and manipulation skills in DARKO!

Reporting from today's euRobotics topic group summit. Prioritised roadmapping topics include much of DARKO's objectives, like reliable perception, manipulation, long-term operation, safety & certification, facilitating deployment.