Ph.D student at the Control of Networked Systems Group (CNS) at the University of Klagenfurt, specializing in modular multi-sensor-fusion for robot localization
“We plan to use mini-helicopters fitted with high-resolution cameras to analyse the condition of plants in greenhouses right down to the fruit."
Fingers crossed for the Houska Prize 2024! 🫰🏅
- @chrbrommer
https://t.co/Kw3ttrzab4
The INSANE Dataset (Increased Number of Sensors for Developing Advanced and Novel Estimators) is now open access by IJRR. I hope this 18-sensor MAV #dataset helps with #research on (multi) sensor fusion for #robot#localization. Paper: https://t.co/PsBiPqKSCB
@uni_klagenfurt
Drones that can monitor environments such as nature reserves for weeks on end, are no longer a far-off prospect: At the initiative of @Caltech, five researchers have now applied for a new technology patent in the USA.
https://t.co/HNBg6OKGZR
Pushing the edge of state-of-the-art filtering "Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration" a new symmetry to include bias states. Paper https://t.co/8GkTFqUg7a Done at #CNS@alpenadriauni#Robotic#science#research#paper
Time for a High-Class Documentary about space exploration tonight? Then checkout the documentary about the AMADEE20 Mars analog simulation @oewf in Israel. A lot of science and fun facts about robotics and living on Mars. @FORTISwatches#Documentary#Mars#Robotic#science
The desert, a drone, and three cool robotics researchers from @alpenadriauni. If you can't wait to see @chrbrommer, Alessandro Fornasier & Martin Scheiber testing the drone navigation technology, fast-forward to 51:50: @oewf#amadee
https://t.co/ifkruvPM6O
Checkout the INSANE science quadcopter Cross-Domain Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators: https://t.co/KSUKDgL6EJ #Robotic#science#research
#MarsMonday
📣A #PressRelease from @alpenadriauni mentioning the new INSANE Flight Dataset which provides in-flight sensor data to elevate research on #uav localization and vision-based navigation. #AMADEE20.
More: https://t.co/mfhGcWBw8J
The latest work on „Equivariant Filter Design for Inertial Navigation Systems with Input Measurement Biases“ at ICRA 2022 from my office mate at CNS, check it out at https://t.co/GfysmR3nqk #Robotic#research#science#robots#papers
Good news ➡️🤖
“The estimated state of a robot’s position, orientation and speed is closer to the real state and this more accurate estimation is achieved faster,” Alessandro Fornasier continues.
https://t.co/UFcdbeHWPG
And once more, a big thank you to the Austrian Space Forum @oewf, which made it possible to record the Mars analog flight data during the #AMADEE20#simulatemars mission
Latest work on object detection for 6DoF pose generation from my fellow PhD “PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation”, at Conference on Robot Learning (CoRL 2022), New Zealand. Paper: https://t.co/TZDPO1H45L #research#MachineLearning
The CNS group @alpenadriauni has just uploaded the video presentation of our new UAV flight stack. Video: https://t.co/OzLPYKTKiG Paper: https://t.co/iKNxwcmX9y Code: https://t.co/F9NamwgKZG We hope this framework helps you to accelerate your research #Robotics#research#uav
And a big thank you to the Austrian Space Forum @oewf for the possibility to perform tests and record Mars analog data during the #AMADEE20 Mars Analog Mission
Checkout our new INSANE dataset. With 3 environments, 18 sensors, vibration analysis, and raw sensor calibration data, it should provide everything you need
PrePrint: https://t.co/A1HKgkWdIb
Data Set: https://t.co/X7WH6sWNx6
Done by CNS @alpenadriauni#Research#Robotics
@oewf@alpenadriauni@oewf thank you for sharing or research! We just released the INSANE dataset which also features the data from the mars analog flights ( PrePrint: https://t.co/A1HKgkWdIb
Data Set: https://t.co/X7WH6sWNx6 ) thank you again for the great opportunity for us to be part of AMADEE20
@salimazak@IEEE@RolandJung8@rsiegwart Thank you for featuring our paper on MaRS! Maybe our recent work, which went online last week might find your interest as well:
The INSANE Cross-Domain UAV Data Sets ( PrePrint: https://t.co/A1HKgkWdIb
Data Set: https://t.co/X7WH6sWNx6 )