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Current Projects

  • STARBOT
  • Plan4Act
  • SMOOTH
  • Health-CAT
  • DLife
  • NEUTRON
  • BRAIN

 

 

Past Projects

 

Technology Transfer

Research Topics:

 

Current Projects

 

LOFT (DK)

 

Odense Robotics: Long-term autOnomy For service robots in consTruction (LOFT)

 

 

ADLife (DK)

 

THOMAS B. THRIGES FOND: Advanced machine learning research platform for autonomous lifelong learning of complex robotic systems in dynamically changing real-world environments (ADLife)

 

STARBOT (CH-DE)

 

NSFC-DFG: Bio-inspired Smart Attachment and Adaptive Neuromechanical Control for Highly Efficient Locomotion and Adaptation to an Autonomous Climbing Robot

 

 

 

 

DLife (EU)

 

Human Frontier Science Program (HFSP): A dung beetle’s life: how miniature creatures perform extraordinary feats with limited resources

 

 

 

 

NEUTRON (CH)

 

1000-plan Program for Young Professionals of China: NEUrorobotic Technology for advanced Robot mOtor coNtrol (NEUTRON)

 

 

 

 

 

BRAIN (TH)

 

Startup Grant-IST Flagship researches of VISTEC: Bio-inspired Robotics & Neural Engineering (BRAIN)

 

 

 

 

 

Past Projects

 

 

 

Plan4Act (EU)

 

Horizon2020-FETPROACT: Predictive Neural Information for Proactive Actions: From Monkey Brain to Smart House Control

 

 

SMOOTH (DK)

 

Innovation fund Denmark: Seamless huMan-robot interactiOn fOr THe support of elderly people

 

 

 

HealthCAT (EU)

 

Interreg5: Health Care Assisting Technology

 

 

 

 

 

VISRA (TH)

 

PTT-RAII and VISTEC:AdVanced Human-MachIne InteractionS Technology for ImpRoving QuAlity of Life and Health (VIS–RA)

 

WELFARE ROBOTS (DK)

 

SDU Lighthouse initiative: Welfare Robots

 

 

 

 

Emmy Noether Research Project (Neural control, Memory, and Learning)

 

Neural Control, Memory, and Learning for Complex Behaviors in Multi-sensori Robotic Systems

 

 

 

Dung beetle legs

 

Bio-inspired legs with adaptie CPG-based neural control for locomotion

 

 

 

DACBot

 

A Dynamic, Adaptive, Compliant walking robot (a next generation of RunBot)

 

 

 

AMOS II

 

Biomechanics with neural control, memory, and learning for complex behaviors

 

 

 

RunBot

 

Biomechanics with neural control and learning for adaptive, dynamic walking behavior of a biped

 

 

 

AMOS-WD02

 

Neural preprocessing and control for obstacle avoidance and sound tropism

 

 

AMOS-WD06

 

Neural preprocessing and control with learning for versatile reactive behaviors

 

 

 

AMOS-WD08

 

Neural preprocessing and control for omidirectional walking and reflex action

 

 

 

Chaos Control

 

Simple neural chaotic pattern generator for complex behaviors of walking robots in a complex environment

 

 

 

 

Reconfigurable Robot

 

Modular neural control for multi locomotion of a three-legged reconfigurable robot with omnidirectional wheels ( in collaboration with Assoc. Prof. Laksanachareon, KMUTNB, see Publications [1], [2], [3] & videos)

 

 

 

 

Biomechanical Leg

 

Modular neural control with a neural reflex mechanism for generating huma-like locomotion of the biomechanical leg (in collaboration with Locomotion Lab, TU Darmstadt, see Publications [1], [2] & video)

 

 

 

Robot Gang

 

Different types of robots including wheeled and legged robots developed in the past

 

 

 

 

Sensory Dynamics

 

Electronic soundsynthesizer for nonlinear tonepatterns on 6 channels systems -stereo vision (in collaboration with Rainer Dunkel & Marc Timme)

 

 

 

Technology transfer

 

 

Besides robot developments & implementations, our developed neural mechanisms have been also used as useful building blocks (generalization and transferable) for other module-based neural control to solve coordination problems in other complex motor tasks. For instance, in collaboration with Otto Bock HealthCare, we have transferred and implemented the already demonstrated operational neural mechanisms to a Knee-Ankle-Foot-Orthosis (left figure) to allow for adaptation (1) to changing environments like slopes, stairs etc. and (2) to the physiological condition of the individual patient (see Publications [1], [2], [3], [4], [5], [6], video).

 

In collaboration with National Electronics and Computer Technology Center (NECTEC, Thailand) and Ronsek LTD in UK, our developed neural mechanisms have been employed as models of the energy harvesting system of prosthetic legs (right figure). The models serve to study and analyze dynamical behaviors of the piezoelectric materials with respect to walking behavior (see Publications [1], [2], [3], [4], [5]).

 

 

 

 

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*The top image of this page is created from several images including, the neuron image (Credit: iStockphoto/Sebastian Kaulitzki), the Brain, neural network image (Image source: medicalnewstoday.com), the motor neuron image (Courtesy of PASIEKA/Science Photo Library/Getty Images).