You can find Monthly Insight | June 2026 for Humanoid Robotics Industry here industryhumanoidrobotics.com… Enjoy to read

MIDAS Hand combines dexterous manipulation, tactile sensing, and low-cost hardware in an open-source robotic hand platform. The platform uses a 13 active 3 passive DoF anthropomorphic hand architecture and integrates tactile sensing through 283 total 3-axis taxels, enabling richer contact feedback for robot learning and manipulation research. With a low-cost build target of approximately $3k BOM cost, MIDAS Hand aims to make dexterous robotic hand development more accessible for researchers working on teleoperation, embodied AI, and humanoid robotics. For humanoid robotics, this is important because manipulation remains one of the hardest real-world deployment challenges. A humanoid robot needs more than motion: it needs to grasp, feel contact, adjust force, and handle object variation reliably. 🎥 via Midas Hand ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobotics #MIDASHand #Robotics #EmbodiedAI #DexterousManipulation #RobotManipulation #TactileSensing #OpenSourceRobotics #RobotHand #PhysicalAI #Teleoperation #ImitationLearning #RobotLearning

Greetings from #power2europe

AGIBOT will host a livestream from a tablet mass-production line at Longcheer Technology’s Nanchang Factory from June 23–28, 2026. The livestream will showcase humanoid robots operating across a full quality-inspection section alongside human operators. This livestream offers a valuable opportunity to observe human-robot collaboration, multi-robot coordination, long-duration operation capabilities, and humanoid robot performance under real industrial conditions. For anyone interested in seeing how humanoid robots are moving from laboratory environments to real production lines, this is a livestream worth following. 📅 June 23–28, 2026 📍 Longcheer Technology, Nanchang Factory ▶️ AGIBOT Official YouTube Channel 🔗 youtube.com/watch?v=4xcDP90e… #HumanoidRobots #Robotics #AGIBOT #IndustrialAutomation #HumanRobotCollaboration #Manufacturing #AI #FutureOfWork #SmartFactory

Hyundai and Boston Dynamics’ Ghost Rabona work with Atlas is a strong example of how far motion learning in humanoid robots has progressed. In this work, Atlas does not perform the movement through manually programmed commands from scratch. Instead, it learns from reference motions based on human demonstrations, combined with reinforcement learning and simulation-based training. First, high-quality kinematic data is collected from a football player through motion capture. This human motion is then adapted to Atlas’ own body structure and joint constraints. In simulation, the robot learns to solve balance, motor control, and timing challenges through thousands of parallel trials. The Ghost Rabona is particularly difficult because the robot needs to execute a fast fake movement, control its center of mass, maintain balance on one leg, and complete a powerful kick through full-body coordination. It seems that we may not be too far from seeing longer and more complete football-specific humanoid robot skill videos. What do you think? 🎥 via Hyundai and Boston Dynamics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobots #Hyundai #BostonDynamics #AtlasRobot #PhysicalAI #ReinforcementLearning #SimToReal #Robotics

X-Humanoid’s TienKung Omni field tests demonstrate an impressive level of humanoid locomotion performance. The video highlights the robot’s ability to climb steps, complete a 17-floor stair-climbing task, and move across challenging surfaces, including grass, irregular terrain, and a rocking obstacle. These tasks are technically demanding in terms of foot placement, center-of-mass control, dynamic balance, contact transitions, and lower-body stabilization. Maintaining stability across uneven and moving surfaces, while sustaining continuous motion during extended stair climbing, indicates how effectively the robot’s perception, control, and locomotion architecture can adapt to real-world physical conditions. 🎥 via X-Humanoid ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #TienKungOmni #XHumanoid #HumanoidRobot #Robotics #EmbodiedAI #RobotLocomotion #MotionControl #DynamicBalance #LeggedRobotics #AutonomousRobots #ArtificialIntelligence

LinkerBot’s robotic hand demonstrates a key challenge in humanoid robotics: dexterous manipulation. In this video, the hand removes a nut-like component by rotating it with its fingers. This may look simple at first, but it requires coordinated finger motion, precise contact control, grip adjustment, and stable force application. For humanoid robots, mobility gets much of the attention, but hands are where many real-world tasks become possible. Assembly, maintenance, tool handling, and object manipulation all depend on this level of fine motor control. 🎥 via LinkerBot ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #LinkerBot #RoboticHand #DexterousManipulation #HumanoidRobot #HumanoidRobotics #Robotics #EmbodiedAI #RobotManipulation #Automation #IndustrialRobotics #AI #FutureOfWork

Figure AI says its BotQ facility scaled Figure 03 production from 1 robot per day to 1 robot per hour in less than 120 days, a 24x increase in manufacturing output. The company also reports delivering more than 350 Figure 03 units, supported by custom production software, networked workstations, and multi-stage functional testing. This marks an important shift in humanoid robotics: the race is no longer only about what robots can do, but also how reliably and rapidly they can be produced at industrial scale. 🎥 via Figure AI ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #FigureAI #Figure03 #HumanoidRobots #Robotics #ArtificialIntelligence #PhysicalAI #Automation #Manufacturing #IndustrialAutomation #FutureOfWork #RobotProduction #AI

One hour until the World Cup begins. And while humans prepare for football’s biggest stage, humanoid robots are training for theirs. This video from Booster Robotics shows how football becomes a real testbed for embodied AI: balance, motion, perception, recovery, and autonomous decision-making. Welcome to the World Cup from the humanoid world. 🎥 via Booster Robotics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #BoosterRobotics #HumanoidRobots #Robotics #EmbodiedAI #RoboCup #WorldCup2026 #AI

Deep Robotics’ Lynx S10 shows how a compact wheel-legged quadruped robot can adapt to stairs, slopes, and complex outdoor environments by switching between different locomotion modes. 🎥 via Deep Robotics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobotics #EmbodiedAI #Robotics #QuadrupedRobot #LeggedRobotics #WheelLeggedRobot #DEEPRobotics #LynxS10

BMW Group is expanding its efforts to integrate humanoid robots into production processes. The company had previously tested the Figure 02 humanoid robot at its Plant Spartanburg site in the United States, where it supported the production of more than 30,000 BMW X3 vehicles, moved over 90,000 components, and completed around 1,250 operating hours during a ten-month pilot. Now, BMW is running a new pilot project at its Leipzig plant with AEON, a humanoid robot developed by Hexagon Robotics, Hexagon’s Zurich-based Physical AI division. This marks BMW Group’s first humanoid robot deployment in a European production environment. The aim of this pilot is to explore how humanoid robots can be integrated into existing processes under real production conditions. AEON is expected to support tasks particularly in high-voltage battery assembly and component production. As part of BMW’s iFACTORY approach, these applications show how Physical AI can move from concept to the production floor. The key point here is not only the humanoid form of the robot, but also its ability to adapt to existing production environments, support employees in repetitive or ergonomically demanding tasks, and create new opportunities for flexible automation. For humanoid robots to become more widely adopted in industry, safety, reliability, cost, and scalability remain critical challenges. 🎥 via BMW Group & Hexagon Robotics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobots #PhysicalAI #Robotics #IndustrialAutomation #SmartManufacturing #BMWGroup #FutureOfManufacturing #Automation #HumanRobotCollaboration

Welding robots are no longer just machines that repeat pre-programmed movements. They are evolving into systems that can perceive their environment, understand variations in parts, and adapt the welding process in real time. Path Robotics’ AI-powered welding system is a strong example of this shift. The company’s physical AI model, called Obsidian, does not simply “track” a weld seam. It perceives the part and seam geometry, adapts to different gaps and surface conditions, and can dynamically adjust critical parameters such as torch angle, travel speed, and heat input during the process. This approach addresses one of the most difficult challenges in manufacturing: real-world parts are not as perfect as their CAD models. Every joint, gap, and surface can be slightly different. This is exactly where traditional robotic automation often struggles. Path Robotics’ mobile welding robot, Rove, aims to bring this intelligence beyond fixed robotic cells and into more flexible production environments. This could be especially important for industries such as shipbuilding, heavy industry, defense, energy infrastructure, and large metal structure manufacturing. 🎥 via Path Robotics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #PathRobotics #Rove #ObsidianAI #Robotics #PhysicalAI #WeldingAutomation #Manufacturing #IndustrialRobotics #AI #Automation #FutureOfWork

Let’s see what is going on PCIM 2026 Nürnberg related with humanoid industry 👀 #PCIM #Robotics #HumanoidRobotics #AI #Automation #Mechatronics #RoboticsEngineering #FutureTech #SmartSystems #RoboAI

Ultra Robotics introduces Operator: a multipurpose industrial AI robot built for warehouse automation. Operator is designed for tasks such as order packaging, sorting, and kitting. It can be installed in hours, operates from a stationary setup, offers extended reach across the work cell, and supports 24/7 warehouse operation without tipping risks or battery swaps. With an approximately 3-meter reach and fleet AI that learns from each deployment, Operator is designed to handle a wide variety of warehouse items, including bags, mailers, and boxes. Its focus is on reliable automation for repetitive, high-volume warehouse workflows. 🎥 via Ultra Robotics ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #UltraRobotics #Operator #Robotics #EmbodiedAI #WarehouseAutomation #IndustrialAI #Logistics #Automation

TienKung Omni by X-Humanoid demonstrates the current progress in humanoid robot mobility through movements such as stepping across platforms with gaps, crawling through low spaces, jumping, and adapting to different obstacles. These types of tests show that humanoid robots are no longer limited to controlled laboratory environments. In the future, they could play an important role in more complex scenarios such as narrow spaces, uneven terrain, obstacle-filled routes, and disaster response operations. 🎥 via X-Humanoid ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobot #Robotics #XHumanoid #TienKungOmni #EmbodiedAI #RobotMobility #AI #FutureTechnology

Robots are no longer just technologies displayed on stage; they are also becoming eye-catching advertising faces for brands. This is what the future of experiential marketing at events is starting to look like. 🎥via NeuraBot Tech ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #HumanoidRobots #Robotics #ExperientialMarketing #EventTech #RobotsForEvents #AI #Innovation #FutureOfMarketing #BrandExperience #TechMarketing

A robot doing a flip is impressive. But what’s even more impressive is how it learned to do it. RAI Institute’s UMV robot can drive, jump, flip, and hop using reinforcement learning policies trained with NVIDIA Isaac™ Lab. This is not just a visually striking robot demo. It also highlights an important direction in robot learning: complex physical behaviors can first be trained through simulation, then transferred to the real world. Movements like flips require high levels of balance, control, and agility, making them a strong example of how quickly robotic capabilities are advancing. The future of humanoid and mobile robotics will not only be shaped by better hardware, but also by simulation-based AI systems that help robots learn faster, safer, and more flexibly. 🎥 via RAI Institute ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #RAIInstitute #NVIDIA #GTC #NVIDIAIsaacLab #ReinforcementLearning #RobotLearning #Robotics #AI #EmbodiedAI #HumanoidRobots

Humanoid robots often capture attention because they resemble us but the future of robotics will likely include many different forms. Hyundai’s MobED is a strong example of this. Instead of walking on two legs, it uses four independently controlled wheels and a smart balancing mechanism to move across different surfaces while maintaining stability. This kind of modular robotic platform could support delivery, object transport, service robotics, personal mobility, and daily-life assistance. In the future, humanoid robots and wheeled robotic platforms may not compete with each other. They may work together as part of a larger robotic ecosystem. 🎥 via Hyundai ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #Humanoid #Robotics #MobED #HyundaiRobotics #AI #FutureOfRobotics #RobotInnovation

AGIBOT WORLD 2026 has introduced Theme 2: Rich Interaction, a new real-world embodied AI dataset focusing on complex, contact-rich interactions between robots and the physical world. What makes this dataset particularly interesting is that it does not only include successful manipulation examples, but also missed grasps, collisions, drops, unstable contacts, and liquid splashes. For humanoid robots, learning from these imperfect and unpredictable physical interactions is essential. Real-world deployment requires models that can understand not only ideal actions, but also failures, recovery situations, and the rich dynamics of contact with the environment. The Rich Interaction dataset can support research in world models, neural simulators, physics-informed perception, and robust representation learning. Progress in embodied AI will likely depend not only on larger models, but also on more realistic, diverse, and challenging real-world data. 🎥 via Agibot ℹ️ This content is shared for informational purposes only. All intellectual property rights belong to their respective owners. #AGIBOT #AGIBOTWorld2026 #EmbodiedAI #HumanoidRobotics #Robotics #WorldModels #PhysicalAI #RobotLearning