TUM - Institute for Cognitive Systems’ Post

The Athena Robotics Institute in collaboration with the School of Mechanical Engineering - NTUA, developed the novel soft actuators "Mag-Nets". The actuator incorporates copper coils and neodymium permanent magnets embedded in a silicone body inspired by fast Pneu-Net actuators. The operation of the actuator relies on the electromagnetic repulsive forces exerted between a cylindrical magnet and a thick copper coil when current passes through the latter. ➡ Μάθετε περισσότερα: https://bit.ly/3YpQzP4 #AthenaRC #SoftRbotics #MagNets

Compliant Electropermanent Magnets: By combining different magnetic powders with silicone rubber, we can make a soft composite material with electropermanent properties. This material can be switched ON and OFF by applying magnetic fields to them. The mechanical compliance of these soft electropermanent magnets is beneficial for integration with soft robots as "a power-efficient alternative to electromagnets for tasks that involve attaching modules or exerting forces on ferromagnetic surfaces." Read about it here: https://lnkd.in/gKHKDCVY W. R. Johnson and R. Kramer-Bottiglio, "Compliant Electropermanent Magnets," 2024 IEEE 7th International Conference on Soft Robotics (RoboSoft), San Diego, CA, USA, 2024, pp. 347-352, doi: 10.1109/RoboSoft60065.2024.10521977.

🤖🔄 Exploring Control Strategies: PID vs. Fuzzy Logic for Wall-Following Mobile Robots I am excited to share one of our research, comparing the performance of PID and Fuzzy Logic controllers in guiding a differential steered mobile robot along walls! 🤖🚶♂️ In this study, we simulated a Pioneer P3-DX robot using Mapper3 and MobileSim, implementing controllers in C++ with the ARIA development package. Our aim was to understand how these controllers handle wall-following tasks across four diverse maps. Key findings include: 🔍 Detailed analysis of PID and Fuzzy Logic controllers in left and right wall-following scenarios 📊 Comparison of performance metrics over 40 runs per map 🔧 Insights into the strengths and weaknesses of each control strategy Our results, published in IEEE Xplore, shed light on the effectiveness of these control strategies in real-world applications. Read the full paper here: https://lnkd.in/gEHdQc-N Have thoughts or questions about our study? Let's discuss in the comments! #Robotics #ControlSystems #ResearchPublication

Check out my lateset and first publication in Robotics field. 🦾 This paper introduces a novel approach to designing a modified nonlinear sliding function based on the dynamic model of robotic manipulators, ensuring asymptotic convergence to the reference trajectory upon reaching the sliding surface. Furthermore, this work integrates a power-rate hyperbolic tangent with a proportional constant to the sliding mode reaching law for faster convergence. This novel deaign simplifies the torque input control law, where this simplification effectively decouples the chattering effect on torque inputs, reducing chattering across all joints. Practically, it helps prevent premature actuator failures and avoids unanticipated fast dynamics in the closed-loop system. #Robotics #Engineering #IEEE #Research #Innovation #Manipulators #Sliding_Mode_Control

🔍 Spotlight on e-puck 2: A Trusted Tool in Robotics Education and Research 🔍 At Rahal Technology, we are proud to offer the e-puck 2, a well-established and highly respected educational robot that has been a cornerstone in robotics teaching and research. Known for its reliability and versatility, the e-puck 2 continues to be a favourite among educators and researchers around the world. Why does the e-puck 2 remain a top choice? - Compact and Durable: Perfectly suited for classroom and lab environments, with a design that withstands the demands of hands-on learning. - Advanced Sensors: Features a variety of sensors, including cameras, microphones, and infrared, to support a wide array of experiments. - Seamless Connectivity: Offers wireless communication for real-time data processing and interactive learning experiences. - Highly Programmable: Compatible with multiple development environments, making it ideal for both introductory courses and advanced research. As a trusted supplier, Rahal Technology is committed to providing the e-puck 2 to educators and researchers who value proven, high-quality tools for their work. Learn more about how the e-puck 2 can support your educational and research goals: https://lnkd.in/gTcPZKuW For more information email us at info@rahal.co.uk #RoboticsEducation #ResearchTools #RahalTechnology #epuck2 #STEM

𝗗𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄, how #Accelerometer works❓🤔 👇👇👇👇👇 ⚡A #MEMS (Micro-Electro-Mechanical System) accelerometer is a micro-machined structure built on top of a silicon wafer. ⚡This structure is suspended by polysilicon springs . It allows the structure to deflect when accelerated along the X, Y, and/or Z axes. ⚡As a result of deflection, the capacitance between fixed plates and plates attached to the suspended structure changes. This change in capacitance is proportional to the acceleration along that axis. ⚡The #sensor processes this change in capacitance and converts it into an analog output voltage. #IMU #embedded #acceleromter #acc #robotics

A new video shows how advanced NVE tunneling magnetoresistance #sensors are used for proximity sensing, which is critical for robotics and mechatronics: https://lnkd.in/gVUv6RHX

The recent experiment, conducted by a team of engineers, with an inverted pendulum highlights the power and precision of PID (Proportional-Integral-Derivative) controllers, is a classic control problem. It serves as a perfect testbed for demonstrating advanced PID tuning techniques. In this setup, the inverted pendulum—a system where the pendulum's center of mass is above its pivot point—is balanced using a PID controller. The experiment meticulously fine-tuned the PID parameters—Kp (proportional gain), Ki (integral gain), and Kd (derivative gain)—to achieve optimal stability and performance. - Proportional Gain (Kp): Adjusts the corrective action based on the current error, providing immediate response to deviations. - Integral Gain (Ki): Addresses accumulated past errors, systematically reducing steady-state errors. - Derivative Gain (Kd): Predicts future error trends, preventing overshoot and dampening oscillations. By dynamically adjusting these parameters, the PID controller was able to keep the pendulum upright, counteracting disturbances and minimizing oscillations. This intricate balance showcases the PID controller’s ability to manage both responsiveness and stability in real-time. This experiment demonstrates the robustness of PID control in handling complex and unstable systems. The inverted pendulum experiment is a testament to how precise control algorithms can maintain equilibrium in dynamic environments, paving the way for advancements in robotics, aerospace, and industrial automation. The success of this experiment underscores the critical role of PID controllers in modern engineering, ensuring reliability and efficiency across a myriad of applications. #PIDController #Moonpreneur #Engineering #InvertedPendulum #ProportionalGain #IntegralGain #DerivativeGain #Robotics #Automation #Aerospace #IndustrialAutomation #TechInnovation #DynamicControl #Stability #AdvancedEngineering #PrecisionControl #EngineeringExcellence #RealTimeControl #ModernEngineering #TechExperiment

The recent experiment, conducted by a team of engineers, with an inverted pendulum highlights the power and precision of PID (Proportional-Integral-Derivative) controllers, is a classic control problem. It serves as a perfect testbed for demonstrating advanced PID tuning techniques. In this setup, the inverted pendulum—a system where the pendulum's center of mass is above its pivot point—is balanced using a PID controller. The experiment meticulously fine-tuned the PID parameters—Kp (proportional gain), Ki (integral gain), and Kd (derivative gain)—to achieve optimal stability and performance. - Proportional Gain (Kp): Adjusts the corrective action based on the current error, providing immediate response to deviations. - Integral Gain (Ki): Addresses accumulated past errors, systematically reducing steady-state errors. - Derivative Gain (Kd): Predicts future error trends, preventing overshoot and dampening oscillations. By dynamically adjusting these parameters, the PID controller was able to keep the pendulum upright, counteracting disturbances and minimizing oscillations. This intricate balance showcases the PID controller’s ability to manage both responsiveness and stability in real-time. This experiment demonstrates the robustness of PID control in handling complex and unstable systems. The inverted pendulum experiment is a testament to how precise control algorithms can maintain equilibrium in dynamic environments, paving the way for advancements in robotics, aerospace, and industrial automation. The success of this experiment underscores the critical role of PID controllers in modern engineering, ensuring reliability and efficiency across a myriad of applications. #PIDController #Moonpreneur #Engineering #InvertedPendulum #ProportionalGain #IntegralGain #DerivativeGain #Robotics #Automation #Aerospace #IndustrialAutomation #TechInnovation #DynamicControl #Stability #AdvancedEngineering #PrecisionControl #EngineeringExcellence #RealTimeControl #ModernEngineering #TechExperiment

The recent experiment with an inverted pendulum vividly demonstrates the power and precision of PID (Proportional-Integral-Derivative) controllers—a cornerstone of control engineering. Here are the technical highlights: - Proportional Gain (Kp): Provides immediate response to deviations by adjusting the corrective action based on the current error. - Integral Gain (Ki): Systematically reduces steady-state errors by addressing accumulated past errors. - Derivative Gain (Kd): Prevents overshoot and dampens oscillations by predicting future error trends. - Real-Time Control: The PID controller dynamically adjusts these parameters to keep the pendulum balanced, counteracting disturbances and minimizing oscillations. - Fine-Tuned Stability: Achieved by meticulously adjusting the PID parameters, ensuring optimal performance even in unstable systems. - Application in Complex Systems: Demonstrates the robustness of PID controllers in managing dynamic environments, paving the way for advancements in robotics, aerospace, and industrial automation. This experiment is a testament to how precise control algorithms can maintain equilibrium in challenging systems, showcasing the critical role of PID controllers in modern engineering. #PIDController #Moonpreneur #Engineering #InvertedPendulum #ProportionalGain #IntegralGain #DerivativeGain #Robotics #Automation #Aerospace #IndustrialAutomation #TechInnovation #DynamicControl #Stability #AdvancedEngineering #PrecisionControl #EngineeringExcellence #RealTimeControl #ModernEngineering #TechExperiment