Industry 4.0 Accelerator

Khenda keeps on innovating with their unique tech stack!

? Final Opportunity to Join Our Exclusive Tech Brief + Webinar Series ? Join us on March 26th for an in-depth webinar on Autonomous Material Handling, exclusively available to Corporate Partners. This session will provide key insights into AMRs, AGVs, and supporting technologies like Fleet Management, Wireless Charging, and AI in improving efficiency and addressing labor challenges in manufacturing. ?? Agenda Highlights: ? Tech Brief Debrief – Key technologies, use cases & industry players ? ProMat Show Recap – Insights from the latest automation innovations in Chicago ? Live Panel Discussion – Perspectives from manufacturers, solution providers & system integrators ?? Featured Speakers: ?? Mike Folster – Expert in Residence, Industry 4.0 Accelerator ?? Paul Stephens – Global Strategy Manager, Ford Motor Company ?? Jane Heffner – VP of Global Sales & Marketing, Mobile Industrial Robots ?? Bobby Carpenter – Sales Engineer, Hyperion Automation ?? Register today to gain exclusive access: https://lnkd.in/gJW-2Qye ?? Download the Tech Brief → https://lnkd.in/gUccydS8

?? I4.0 Accelerator at ProMat 2025! ?? The I4.0 Accelerator team is on the ground at ProMat 2025 in Chicago, actively tech scouting for our next portfolio companies and expanding our corporate partner network with leading manufacturers. With 1,200+ top supply chain and manufacturing solution providers under one roof, ProMat is the premier event to explore game-changing innovations and connect with the industry leaders shaping the future of industrial automation, smart manufacturing, and supply chain resilience. ?? What We’re Looking For: ? Cutting-edge Industry 4.0 startups ready to scale ? Transformative technologies in automation, robotics, AI, and advanced manufacturing ? Corporate partners looking to drive innovation and pilot new solutions If you're at ProMat 2025, let’s connect! Whether you’re a startup pushing the boundaries of industrial innovation or a manufacturer eager to collaborate, we want to meet you. ?? DM us to explore opportunities! #ProMat2025 #Industry40 #SupplyChainInnovation #ManufacturingTech #Startups #TechScouting

Thrilled to welcome Inbolt to our Industry 4.0 accelerator! ?? They're revolutionizing manufacturing automation with their plug-and-play 3D vision system. Imagine: robots adapting dynamically, no costly jigs, setup in minutes! #Industry40 #Robotics #Automation #Manufacturing inbolt

Congratulations to Albane Dersy, leader of inbolt, one of our newest and most exciting technology companies in the industry 4.0 Accelerator! #smartmanufacturing #industry40 #advancedmanufacturing

10 Ways That AI is Enabling Autonomous Navigation The following are examples which demonstrate how AI is a core enabler of intelligent, autonomous navigation and path optimization, enhancing the versatility and adaptability of autonomous material handling systems. - Dynamic Obstacle Avoidance - AI processes sensor data (LIDAR, cameras) to identify and avoid moving obstacles in real time, rerouting as needed. - Simultaneous Localization and Mapping (SLAM) - AI integrates data from sensors to build and update a map of the environment while keeping track of the robot’s position. - AI-Driven Multi-Robot Coordination - AI algorithms optimize the routes of multiple AMRs to avoid collisions and minimize congestion. - Route Optimization Based on Historical Data - AI analyzes past movement data to suggest optimal paths that minimize travel time and energy consumption. - Predictive Traffic Management - AI predicts potential traffic bottlenecks and proactively reroutes AMRs to avoid delays. - Dynamic Floor Map Updates - AI dynamically updates navigation maps to reflect environmental changes (e.g., construction zones, blocked paths). - Energy-Efficient Path Planning - AI selects paths that conserve battery power, balancing speed, and energy efficiency. - High-Speed Path Optimization in Real-Time - AI recalculates paths on the fly to optimize for speed when faced with sudden obstructions or changing priorities. - Sensor Fusion for Precision Navigation - AI combines data from multiple sensors (e.g., GPS, LIDAR, inertial sensors) to achieve precise navigation even in low-visibility conditions. - Behavior Prediction of Nearby Agents - AI predicts the movements of nearby humans, forklifts, or other robots to choose safer and more efficient paths.

?? Powering the Future: Our Startups Shine at GM Innovation Day! We were thrilled to bring several of our Industry 4.0 Accelerator portfolio companies to General Motors Innovation Day! ?? This incredible opportunity allowed them to showcase cutting-edge solutions for automotive manufacturing and connect with GM— a true leader in mobility, safety, and sustainability. ?? Driving the future of manufacturing ?? Fostering innovation & collaboration ?? Empowering startups making real impact A huge thank you to GM for championing innovation and paving the way for industry transformation! ???? #Industry40 #Innovation #Manufacturing #FutureofMobility

Thanks for the call to action Phillip S. - great opportunity for the entire Michigan Manufacturing Ecosystem to rally around Apple and create a tightly integrated and strategic partnership with all of the other advanced manufacturing technology assets we have in place. Michigan Manufacturing Technology Center Automation Alley A3 - Association for Advancing Automation American Lightweight Materials Manufacturing Innovation Institute US Center for Advanced Manufacturing SME Michigan Manufacturers Association Lean Rocket Lab

?? Imagine a factory that learns and adapts in real-time. That's the power of Ubivis! Joining the i4.0 Accelerator, they're providing end-to-end solutions for Advanced Manufacturing, from Industrial IoT data collection to AI-powered automation. Welcome, Ubivis! We're excited to see the impact you'll have on the manufacturing landscape. Ubivis

8 Trends driving growth of Autonomous Forklifts Autonomous Forklifts are growing in popularity relative to other autonomous material handling solutions. Learn about the key players and the 8 Key Trends driving the growth of Autonomous Forklifts: - Integration of Advanced Sensors and Perception Systems: In order to successfully detect their environment, autonomous forklifts are becoming outfitted with advanced sensors, such as LiDAR, cameras, ultrasonic sensors, and radar. - Advancements in Artificial Intelligence: AI and machine learning algorithms play a major role in the navigation, decision making, and operational process optimization of autonomous forklifts. - Collaborative and Cooperative Robotics: Autonomous forklifts can improve flexibility by collaborating to accomplish tasks including loading and unloading pallets, navigating around obstacles, and interacting with other robots. - Hybrid Autonomous Systems: When certain duties or operational requirements arise, autonomous forklift systems allow operators to switch between autonomous and manual modes. - Cloud Connectivity and Data Analytics: A growing number of self-contained forklifts are connected to cloud-based platforms, enabling fleet management, data analytics, and remote monitoring. - Focus on Safety and Risk Mitigation: Manufacturers are using obstacle detection sensors, emergency stop mechanisms, and collision avoidance systems, to minimize risks and ensure safe operation in dynamic settings. - Customization and Modular Design: Operators may tailor autonomous forklift systems to specific use cases, industry standards, and operational workflows thanks to the technology's increasing adaptability and versatility. - Sustainability and Energy Efficiency: Businesses are prioritizing sustainability and energy efficiency more and more, which has led to a rise in demand for electric and hybrid autonomous forklifts.