ARISE_Project

Researchers recently developed robotic hands utilizing soft internal air channels to grasp delicate items with a high success rate, detecting slips with precise control. This approach perfectly aligns with the ARISE project. news.utexas.edu/2026/03/10/rob….

New Publication Within Arise Project: When to Explain: Robot Failure Explanations for Older Adults Our partners at @CSIC have published a study exploring how older adults prefer robots to explain failures in domestic assistive tasks. 📄 doi.org/10.1145/377673…

🌱 Robotics meets precision agriculture! Whether it’s monitoring crop nutrient levels or identifying climate-resilient traits, researchers at Carnegie Mellon University’s Robotics Institute are making farming more predictable and efficient. youtube.com/watch?v=ksXUIr…

🐙 What if a gripper could reshape its entire body before grabbing A new octopus-inspired soft robot morphs to fit objects from 20mm to 200mm, with real-time sensing and low-cost, open-source design. #SoftRobotics #ARISERobotics #AgTech arxiv.org/abs/2510.27666

📢 ARISE Newsletter – Issue 4 is out now! The latest edition of our newsletter highlights how ARISE – Advanced AI and Robotics for Autonomous Task Performance is driving innovation in sustainable agriculture and energy applications. mailchi.mp/60a1c3fd9457/g…

A new read highlights how Agro-Well and ARISE are revolutionizing agriculture. By integrating advanced soft robotics, AI-driven crop monitoring, we are moving toward a future where farming is smarter, more efficient, and hyper-resilient. arise-robotics.eu/cultivating-th…

🤝 Synergy in Action | ARISE × @AGROWELL_EU Collaboration drives innovation in European agriculture. ARISE’s AI-powered robotics meets AGRO-WELL’s focus on farmer safety & well-being, advancing safer, smarter, & more sustainable farming across Europe. agro-well.eu

🔗arise-robotics.eu

Labor shortages and post-harvest losses threaten delicate crops, and ARISE is tackling both. A recent MDPI study highlights similar integrated soft robotic systems, validating the direction ARISE is leading in precision agriculture. mdpi.com/2624-7402/7/11…

🚀 The ARISE consortium recently convened for its 4th General Assembly, marking a pivotal moment in our mission to revolutionize the Energy (Solar) and Agriculture sectors! arise-robotics.eu/technical-syne…

Bridging Advanced Robotics and Practical Agriculture: ARISE and @AgRibotEU : A Complementary Vision🤝 ARISE and AgRibot share a common vision: using AI-driven robotics to transform agriculture into a safer, smarter, and more sustainable sector 🌱🤖 #ARISE #AgRibot #Robotics

Joining Forces | AgRibot + ARISE @AgRibotEU is an EU-funded project that will, over the span of four years, develop six advanced agricultural robots, which will be rolled out across diverse terrains in Europe. agribot-project.eu

The IEA report confirms we are on track to triple renewable capacity. But here is the hidden challenge: Who lifts the panels? To meet the Green Deal targets, we need to install millions of heavy solar modules and harvest tons of hydroponic crops. iea.org/energy-system/…

Top 5 Global Robotics Trends for 2026 makes clear: automation isn’t replacing humans, it’s augmenting them. ARISE enables robots to understand tasks, context, and human actions, moving beyond static safety zones to support safe, efficient teamwork. ifr.org/ifr-press-rele…

IEEE work on semantics-aware path planning enables GPS-free, safe 3D robot navigation in solar farms using RGB-D vision, advancing autonomous inspection & maintenance. 🔗 ieeexplore.ieee.org/document/11268…

Before robots hit solar farms & hydroponic greenhouses, ARISE focused on a unified hardware–software architecture. Led by @UBITECH_GR, it turns real user needs, from gentle lettuce handling to heavy solar panels, into scalable, edge-AI-ready system logic. arise-robotics.eu/under-the-hood…

Final #ARISEProject spotlight: The Role of Embodiment in Intuitive Whole-Body Teleoperation This work investigates how teleop styles impact training data. Findings show coupled whole-body control boosts imitation learning outcomes for mobile manipulators. sophiamoyen.github.io/role-embodimen…

#ARISEProject research: Learning Force Distribution Estimation for the GelSight Mini Helmut et al. introduce a U-Net model that predicts force distributions from raw sensor images using FEA supervision. arxiv.org/abs/2411.03315

Autonomous farming is here 🌱 AgriTech Awards 2025 highlight robots like Grodi for pest detection + harvesting, mirroring ARISE’s vision for AI-driven greenhouse automation. 🔗 expoagritech.com/agritech-innov… #ARISE #AgriTech #SmartFarming

How can robots better read human actions? Next on work from our partners uses transition-state clustering to improve action segmentation, boosting safe, smooth human-robot collaboration. 📄 proceedings.com/content/079/07… #ARISEProject #HRI #Robotics