2021
DOI: 10.3390/electronics11010008
|View full text |Cite
|
Sign up to set email alerts
|

Reconfigurable Computing for Reactive Robotics Using Open-Source FPGAs

Abstract: Reconfigurable computing provides a paradigm to create intelligent systems different from the classic software computing approach. Instead of using a processor with an instruction set, a full stack of middleware, and an application program running on top, the field-programmable gate arrays (FPGAs) integrate a cell set that can be configured in different ways. A few vendors have dominated this market with their proprietary tools, hardware devices, and boards, resulting in fragmented ecosystems with few standard… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 37 publications
0
4
0
Order By: Relevance
“…. e p (t) = −λ p e p (t) (19) where λ p is a positive gain scalar λ p > 0 and represents the error time constant. Then, Equation ( 18) is derived:…”
Section: Pbvs Servocontrollermentioning
confidence: 99%
See 1 more Smart Citation
“…. e p (t) = −λ p e p (t) (19) where λ p is a positive gain scalar λ p > 0 and represents the error time constant. Then, Equation ( 18) is derived:…”
Section: Pbvs Servocontrollermentioning
confidence: 99%
“…This work shows the design of robotic systems either using IBVSs (Image-Based Visual Servo) (see a previous work reported by some authors in [18], PBVSs (Position-Based Visual Servo), or hybrid HBVS (Hybrid-Based Visual Servo) scheme (image and position-based). A camera mounted on the robot can roll over its axis minimizing the non-holonomy of the robotic system [19]. Algorithms are implemented by running up embedded servoalgorithms in open-source platforms.…”
Section: Introductionmentioning
confidence: 99%
“…These efforts are valuable to increase the availability of FPGAs to virtual machines or containers and to enhance the flexibility of cloud FPGA deployments [16,17]. The value of FPGA computing with PR is also manifested by its adoption in different vertical sector use cases [18][19][20][21]. One of the latest research interests is to use FPGA computing and PR in those use cases where ML models need to be deployed and reconfigured on the fly [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…The extraction of features in the frequency domain of machine vibration signals is performed using discrete Fourier transform (DFT), and this information is used to enter an auto-associative neural network (AANN) for anomaly detection, reporting satisfactory results offline. Other recent FPGA applications in robotics are agricultural robots [32], reactive robotics [33], and grasping recognition [34], among others. The works presented have demonstrated the usefulness and advantages of using FPGA processing systems in robotics problems.…”
Section: Introductionmentioning
confidence: 99%