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Profile
Pejman Iravani is a Senior Lecturer in Mechanical Engineering. His research is in the area of Robotics, Computer Vision and Machine Learning. His current work aims taking robots from factories into populated environments.
Research
Pejman's current research is looking into the technologies that will make robots operational in real-world environments such as homes, workplace, hospitals and so on. His vision is that within the next 10-15 years robots will be doing most of the unpleasant jobs that currently humans are doing.
Pejman and his team are developing various technologies, including sensing materials for artificial skins, machine learning methods for robots to learn autonomously, and control methods to make robots safe when in close proximity to humans.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2006 2020
Additive Constructed Trastibial Intelligent ProstHetic
1/12/17 → 28/02/19
Project: Central government, health and local authorities
Prosthetics
Muscle
3D printers
Medical problems
Microprocessor chips
Electrical Aspects of Rain Generation
Cleaver, D., Du Bois, J. & Iravani, P.
1/07/17 → 31/08/20
Project: Other
Future Unmanned Aerial Systems Traffic Management (UTM)
Cleaver, D., Du Bois, J. & Iravani, P.
1/05/17 → 1/06/18
Project: Central government, health and local authorities
GCRF - Autonomous and Disposable Biosensor for Water Quality
18/07/16 → 31/03/17
Project: Research council
UK Beyond Visual Line of Sight Operations
Cleaver, D., Du Bois, J. & Iravani, P.
1/07/16 → 30/09/17
Project: Central government, health and local authorities
Research Output 2004 2019
Anodic stripping voltammetric determination of zinc at a 3-D printed carbon nanofiber–graphite–polystyrene electrode using a carbon pseudo-reference electrode
Honeychurch, K. C., Rymansaib, Z. & Iravani, P. 15 Aug 2018 In : Sensors and Actuators, B: Chemical. 267, p. 476-482 7 p.Research output: Contribution to journal › Article
anodic stripping
Carbon nanofibers
Graphite
Polystyrenes
Zinc
A study of a compliant hydraulic actuator for running robots
Ding, B., Plummer, A. & Iravani, P. Jul 2018Research output: Contribution to conference › Paper
Hydraulic actuators
Robots
Hydraulic accumulators
Hydraulics
Friction
Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data
Feng, Y., Pickering, S., Chappell, E., Iravani, P. & Brace, C. 28 Jun 2018 Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Springer Verlag, p. 481-490 10 p. (Advances in Intelligent Systems and Computing; vol. 786)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Fuzzy inference
Railroad cars
Dynamometers
Chassis
Fuzzy logic
Hybrid Testing of an Aerial Refuelling Drogue
Bolien, M. 11 Jan 2018 158 p.Research output: Thesis › Doctoral Thesis
File
Antennas
Robotics
Testing
Hardware
Air refueling
Integrating visual and tactile robotic perception
Corradi, T. 2018 123 p.Research output: Thesis › Doctoral Thesis
Open Access
File
Robotics
Sensors
Object recognition
Fusion reactions
Robots