Visual Complex Functions
Die 10 besten Produkte von Juni 2025
Letzte Aktualisierung:
12. Juni 2025
Birkhauser
Visual Complex Functions: An Introduction with Phase Portraits
Kostenloser Versand
98
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AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER
Oxford University Press
Visual Complex Analysis: 25th Anniversary Edition
Kostenloser Versand
96
BESTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#2
Oxford University Press
Visual Complex Analysis
95
TOP QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#3
Academic Press
Why Penguins Communicate: The Evolution of Visual and Vocal Signals
Kostenloser Versand
91
HOHE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#4
Academic Press
GPCRs: Structure, Function, and Drug Discovery (English Edition)
86
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#5
Yahboom
Yahboom DOFBOT-SE Roboterarm 6DOF Robotik-Set mit künstlicher Intelligenz, Visual Recognition, Inverse Kinematik Algorithmus und mehreren Steuerungsmethoden
82
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#6
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Desktop Robot Arm Control by a Virtual Machine: The Dofbot-SE robot arm uses a virtual machine as its main controller and does not rely on the expensive Raspberry Pi Jetson Nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition. act
6DOF Intelligent serial bus servo robot arm: The roboter body of the robot arm contains 6 bus servos that support readback of position and status information. The servo has built-in metal gears, high-precision potentiometers, anti-reverse connection interfaces, and can be cascaded. Control
Diversity of control methods: The robot kit can be controlled by the standard wireless handle, mobile APP and computer mouse included in the kit Multiple operation methods can be used for various projects and learning, providing more creative possibilities and fun.
Creative Function Development: The camera and the robotic arm are combined into one. The camera is responsible for the AI recognition work, and the robotic arm is responsible for the command output operations. It realizes an inverse kinematics algorithm by controlling each joint, color recognition, tracking and capture, gestures and faces.
High-quality structure and high-quality after-sales team: The robotic arm uses high-quality aluminum alloy and industrial-grade bearings, which can be used and learned endlessly. Yahboom develops Python Source Code for Dofbot SE, with 151 courses, from basic to advanced learning, and technical support to protect you.
279,00 € (279,00 € / kg) AUF AMAZON
Routledge
Skill Acquisition and Training: Achieving Expertise in Simple and Complex Tasks (English Edition)
81
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#7
Yahboom
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation,OpenCV (Without WiFi Camera)(Standard Version)
78
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#8
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MicroROS Robot is a ROS2 smart car controlled by a PC virtual machine. The performance of PC is greatly improved compared to motherboards such as Raspberry Pi and Jetson. It also supports flexible adjustment and expansion of virtual machine system resources, and can easily back up and restore the system. . No need for expensive Raspberry Pi or Jetson development board, use ROS2 to program robots at low cost.
MS200 is fully compatible with ROS2, supports indoor and outdoor, supports 360° scanning and detection, and realizes three-dimensional mapping; the MicroROS control board supports WiFi, Bluetooth, serial port and other communication functions, supports power supply for Raspberry Pi 5PD, and can be directly connected to the ROS2 environment for use. Easy to use and efficient; built-in 310 motor, the metal material is wear-resistant and durable and provides precise and stable motion control.
New AI visual recognition function.The AI visual image transmission version adds a two-degree-of-freedom camera gimbal configuration to the standard version, supports running OpenCV image processing and Mediapipe machine learning algorithms, and can expand AI visual recognition and interactive gameplay. Please note: This feature is the AI vision version only.
Functional Project.The robot transfers chassis data to the PC virtual machine through microROS to realize lidar mapping navigation, path planning, navigation obstacle avoidance, tracking, radar guarding and patrolling, and multi-machine navigation. It supports Rviz simulation and provides intuitive screen feedback. Help users understand the status and operation process of radar, map construction and path planning.
Yahboom provides courses.Including comprehensive low-level hardware driver tutorials,robot control and gameplay,as well as Linux operating system, Docker development environment,ROS2, microROS control board development environment construction, etc. Rich tutorials help users learn quickly.Parents love this robotics kit because it's a fun and educational way to introduce their children to the world of robotics.The best toy educational robots for teaching STEM skills, coding,and programming.
189,99 € AUF AMAZON
Yahboom
Yahboom Two Wheel-Legged Robot, Integrated Raspberry Pi CM4 Module, AI Visual Recognition and Voice Interaction, Desktop-Level Dual-Wheel-Foot Structure Adaptive Balancing Robot
Kostenloser Versand
72
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#9
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【Desktop-level Two Wheel-legged Robot】 It has the advantages of both wheels and legs, with wheeled mobility and legged obstacle-crossing capabilities. Rider-Pi adopts a connecting rod structure, equipped with dual-wheeled and legged motion joints and integrated hub motors, which can maintain stability on complex terrains such as slopes and steps, and provide agile and omnidirectional motion performance.
【Integrated Raspberry Pi CM4 module】 Rider-Pi has a built-in AI module and adopts the Raspberry Pi CM4 chip solution. It is equipped with a 2.0-inch IPS color display screen and 4 programmable buttons, a 5-megapixel camera, a digital microphone and a speaker. It has excellent visual and voice interaction capabilities and can realize image recognition, face detection, voice dialogue and other functions.
【Multi-controller collaboration】 Rider-Pi adopts a multi-controller collaborative architecture. The Raspberry Pi CM4 module is used as the host computer, responsible for computing tasks such as image and voice. ESP32 is used as the slave computer, responsible for the robot's power management, servo and motor driving, and core motion control algorithms. Through the multi-controller collaboration mode, Rider-Pi achieves more efficient task processing and resource utilization.
【Fun Gameplay】 Two mobile phone APP controls, WiFi version (with image transmission) and Bluetooth version, both support IOS and Android; 2.0-inch IPS display with 35 cute expressions, which change with the robot's state; the robot is equipped with an inertial measurement unit (IMU) to adjust the robot's posture in real time to adapt to various terrain obstacles.
【Chat-GPT Voice Interaction】Rider-Pi is equipped with a 5-megapixel camera, dual MEMS digital microphones and speakers. Using Chat-GPT, it provides rich image and voice interaction functions, and can realize image recognition, voice recognition and natural language processing, bringing users a more intelligent interactive experience. Please note: You need to purchase an account to use Chat-GPT.
479,00 € AUF AMAZON
Independently published
Comprehensive Introduction to Endocrinology for Novices: Unlock the Secrets of Hormones: A Beginner's Guide to Endocrinology Exploring the Human Body's Vital Functions
Kostenloser Versand
66
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#10
visual complex analysis