Steven Peters

ORCID: 0000-0003-3131-1664
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About
Contact & Profiles
Research Areas
  • Autonomous Vehicle Technology and Safety
  • Flexible and Reconfigurable Manufacturing Systems
  • Vehicle Dynamics and Control Systems
  • Manufacturing Process and Optimization
  • Robotic Path Planning Algorithms
  • Neuroscience and Neuropharmacology Research
  • Human-Automation Interaction and Safety
  • Receptor Mechanisms and Signaling
  • Product Development and Customization
  • Chemical Synthesis and Analysis
  • Adversarial Robustness in Machine Learning
  • Synthetic Organic Chemistry Methods
  • Real-time simulation and control systems
  • Soil Mechanics and Vehicle Dynamics
  • Pain Mechanisms and Treatments
  • Cancer Treatment and Pharmacology
  • Vehicle emissions and performance
  • Nicotinic Acetylcholine Receptors Study
  • Advanced machining processes and optimization
  • Traffic and Road Safety
  • Carbohydrate Chemistry and Synthesis
  • Big Data and Business Intelligence
  • Synthesis and Catalytic Reactions
  • Scheduling and Optimization Algorithms
  • Advanced Numerical Analysis Techniques

University of Calgary
2022-2025

Technical University of Darmstadt
2022-2024

Mercedes-Benz (Germany)
2020-2023

Karlsruhe Institute of Technology
2010-2023

Hesse (Germany)
2023

China Automotive Engineering Research Institute
2023

Open Source Robotics Foundation
2014-2021

Daimler (Germany)
2018-2019

Eli Lilly (United States)
2001-2013

Massachusetts Institute of Technology
2006-2011

This paper formulates the vehicle navigation task as a constrained optimal control problem with constraints bounding traversable region of environment. A model predictive controller iteratively plans an trajectory through corridor and uses this to establish minimum threat posed given its current state driver inputs. Based on assessment, level intervention required prevent departure from is calculated driver/controller inputs are scaled accordingly. Simulated experimental results presented...

10.1504/ijvas.2010.035796 article EN International Journal of Vehicle Autonomous Systems 2010-01-01

Machine learning is an established and frequently used technique in industry academia, but a standard process model to improve success efficiency of machine applications still missing. Project organizations practitioners face manifold challenges risks when developing have need for guidance meet business expectations. This paper therefore proposes the development applications, covering six phases from defining scope maintaining deployed application. Business data understanding are executed...

10.3390/make3020020 article EN cc-by Machine Learning and Knowledge Extraction 2021-04-22

This paper presents the software framework established to facilitate cloud-hosted robot simulation. The addresses challenges associated with conducting a task-oriented and real-time competition, Defense Advanced Research Projects Agency (DARPA) Virtual Robotics Challenge (VRC), designed mimic reality. core of is Gazebo simulator, platform simulate robots, objects, environments, as well enhancements made for VRC maintain high fidelity simulation using degree freedom multisensor robot. other...

10.1109/tase.2014.2368997 article EN IEEE Transactions on Automation Science and Engineering 2015-01-19

We discuss an implementation of the RRT* optimal motion planning algorithm for half-car dynamical model to enable autonomous high-speed driving. To develop fast solutions associated local steering problem, we observe that a special point (namely, front center oscillation) can be modeled as double integrator augmented with fictitious inputs. first map constraints on tire friction forces these inputs, which provides instantaneous, state-dependent bounds curvature geometric paths feasibly...

10.1109/acc.2013.6579835 article EN American Control Conference 2013-06-01

Duloxetine, a selective but balanced serotonergic and noradrenergic reuptake inhibitor, was evaluated in the acute nociceptive pain models of tail flick hot plate mice persistent and/or inflammatory acetic acid-induced writhing mice, carrageenan-induced thermal hyperalgesia mechanical allodynia rats, capsaicin-induced rats. In models, duloxetine had no significant effect on response latency mouse tail-flick test produced modest increases latencies test. Morphine dose-related analgesic...

10.1124/jpet.104.075960 article EN Journal of Pharmacology and Experimental Therapeutics 2004-10-19

When planning planetary rover missions it is useful to develop intuition and skills driving in, quite literally, alien environments before incurring the cost of reaching said locales. Simulators make possible operate in that have physical characteristics target locations without expense overhead extensive tests. To end, NASA Ames Open Robotics collaborated on a Lunar simulator based open source Gazebo simulation platform leveraging ROS (Robotic Operating System)components. The was integrated...

10.1109/aero.2019.8741780 article EN IEEE Aerospace Conference 2019-03-01

Machine learning is an established and frequently used technique in industry academia but a standard process model to improve success efficiency of machine applications still missing. Project organizations practitioners have need for guidance throughout the life cycle application meet business expectations. We therefore propose development applications, that covers six phases from defining scope maintaining deployed application. The first phase combines data understanding as availability...

10.20944/preprints202103.0135.v1 preprint EN 2021-03-03

The effects of cholinesterase inhibitors, cholinergic agonists, dopaminergic agonists and antagonists on the hyperactivity produced by muscarinic antagonist scopolamine were evaluated in mice. Scopolamine (0.3-10 mg/kg) a dose-related increase locomotor activity, with peak effect at 3.0 mg/kg. inhibitor physostigmine (0.03-0.175 was without activity when administered alone, whereas tetrahydroaminoacridine hydrate decreased activity. Both attenuated scopolamine. Administered oxotremorine...

10.1016/s0022-3565(25)23104-4 article EN Journal of Pharmacology and Experimental Therapeutics 1990-11-01

Cycle-to-cycle variations in an optically accessible four-stroke direct injection spark-ignition gasoline engine are investigated using high-speed scanning particle image velocimetry and in-cylinder pressure measurements. Particle allows to measure flow fields at high spatial temporal resolution. Binary classifiers used predict combustion cycles of indicated mean effective based on features engineered tumble obtained during the intake compression stroke. Basic mid-cylinder plane sufficient...

10.1177/1468087419833269 article EN International Journal of Engine Research 2019-03-14

Introduction: Fibromuscular dysplasia (FMD) is a rare, nonatherosclerotic, non-inflammatory vasculopathy for which only limited population-level data are available. We aimed to evaluate the prevalence and characteristics of cerebrovascular fibromuscular (cFMD) in cohort patients with ischemic stroke(IS) transient attack (TIA). Methods: studied all diagnosed IS/TIA an entire Canadian province (Alberta) from April 1, 2016, March 31, 2017, followed at least 5 years until 31,2022 recurrent using...

10.1161/str.56.suppl_1.tp218 article EN Stroke 2025-01-30

Vehicle rollover represents a significant percentage of single-vehicle accidents and accounts for over 9000 fatalities 200,000 non-fatal injuries each year. Previous research has yielded stability control systems that are effective in on-road conditions. Accident statistics show, however, 90% rollovers involve road departure, during which vehicle may encounter sloped rough terrain while travelling at high speed. A critical element most is metric monitors vehicle's nearness to rollover. Most...

10.1080/00423110802344636 article EN Vehicle System Dynamics 2009-01-15

Increasingly shorter product life cycles at an increasing number of variations call for productive, reliable and quality-oriented production systems networks which are able to meet the turbulence global demand especially expected higher frequency economic crises. The following paper presents development a theoretical measure evaluation that integrates all aspects globally distributed system. work is based on latest enhancements classic OEE figure TPM concept.

10.1016/j.procir.2013.05.006 article EN Procedia CIRP 2013-01-01

Among the current challenges to global automotive industry are changes in markets leading product variety, regulation pressure for new technologies body and powertrain, competition by players such as huge information communication technology companies. Automotive original equipment manufacturers (OEMs) deal with these issues different ways. This paper uses scenario technique illustrate possible answers question, how future value chains of will look like. In almost all cases, (ICT) plays a...

10.1051/mfreview/2015030 article EN cc-by Manufacturing Review 2016-01-01

We present DAVE Aquatic Virtual Environment (DAVE) <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> , an open source simulation stack for underwater robots, sensors, and environments. Conventional robotics simulators are not designed to address unique challenges that come with the marine environment, including but limited environment conditions vary spatially temporally, impaired or challenging perception, unavailability of data in a...

10.1109/auv53081.2022.9965808 article EN 2022-09-19

Mobile robots and passenger vehicles are frequently required to operate at high speeds, on terrain that is sloped or uneven. These systems can be susceptible rollover, particularly during severe maneuvers. This paper presents an analysis of rollover stability measurement for mobile operating speeds. The examines the accuracy a commonly accepted metric operation rough terrain. effects sensor placement, center-of-gravity position estimation error, wheel dynamics examined. It shown these have...

10.1109/robot.2006.1642269 article EN 2006-07-10
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