User profiles for Alois Knoll
Alois KnollTechnische Universität München Verified email at in.tum.de Cited by 24754 |
[HTML][HTML] Gradient boosting machines, a tutorial
A Natekin, A Knoll - Frontiers in neurorobotics, 2013 - frontiersin.org
Gradient boosting machines are a family of powerful machine-learning techniques that have
shown considerable success in a wide range of practical applications. They are highly …
shown considerable success in a wide range of practical applications. They are highly …
Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results
In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …
[PDF][PDF] The human brain project: creating a European research infrastructure to decode the human brain
Decoding the human brain is perhaps the most fascinating scientific challenge in the 21st
century. The Human Brain Project (HBP), a 10-year European Flagship, targets the …
century. The Human Brain Project (HBP), a 10-year European Flagship, targets the …
A system for robotic heart surgery that learns to tie knots using recurrent neural networks
Tying suture knots is a time-consuming task performed frequently during minimally invasive
surgery (MIS). Automating this task could greatly reduce total surgery time for patients. …
surgery (MIS). Automating this task could greatly reduce total surgery time for patients. …
Human-robot interaction in handing-over tasks
In many future joint-action scenarios, humans and robots will have to interact physically in
order to successfully cooperate. Ideally, seamless human-robot interaction should not require …
order to successfully cooperate. Ideally, seamless human-robot interaction should not require …
A review of safe reinforcement learning: Methods, theory and applications
Reinforcement learning (RL) has achieved tremendous success in many complex decision
making tasks. When it comes to deploying RL in the real world, safety concerns are usually …
making tasks. When it comes to deploying RL in the real world, safety concerns are usually …
Event-based neuromorphic vision for autonomous driving: A paradigm shift for bio-inspired visual sensing and perception
As a bio-inspired and emerging sensor, an event-based neuromorphic vision sensor has a
different working principle compared to the standard frame-based cameras, which leads to …
different working principle compared to the standard frame-based cameras, which leads to …
[HTML][HTML] A survey of encoding techniques for signal processing in spiking neural networks
Biologically inspired spiking neural networks are increasingly popular in the field of artificial
intelligence due to their ability to solve complex problems while being power efficient. They …
intelligence due to their ability to solve complex problems while being power efficient. They …
[HTML][HTML] Introducing the human brain project
The Human Brain Project (HBP) is a candidate project in the European Union's FET Flagship
Program, funded by the ICT Program in the Seventh Framework Program. The project will …
Program, funded by the ICT Program in the Seventh Framework Program. The project will …
What the constant velocity model can teach us about pedestrian motion prediction
Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to
operate safely. In recent years many complex approaches based on neural networks have …
operate safely. In recent years many complex approaches based on neural networks have …