@AgilexRobotics profile picture
AgileX Robotics @AgilexRobotics

Leading Mobile Robot Chassis And Unmanned System Solution Provider

Joined March 2022
  • Posts 344
  • Following 60
  • Followers 2,745
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AgileX Robotics @AgilexRobotics
25 Nov 2025
Introducing Our 7-DoF Robotic Arm - NERO:  Unlock Human-Like Dexterity for Your Robotics Research🤖 It delivers seamless obstacle avoidance and detour ability. 🌐 global.agilex.ai 📩 Sales@agilex.ai #AgileXRobotics #NERO
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See #NERO in motion🦾 7-DoF #humanoid robotic arms with human-like dexterity ✅Lightweight ✅3kg payload ✅±0.1mm repeatability Will be live with our Universal Master Arm for #teleoperation at #RSS2026, Booth B2, ICC Sydney. Come try it! #AgileXRobotics #PhysicalAI #Robotics
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Get hands-on with #PiPER-X at #RSS2026 🤖 Lightweight 6-DoF robotic arm with a highly dexterous spherical wrist for advanced #manipulation and #robotics R&D in constrained spaces. ±0.1mm repeatability • 1.5kg payload • ROS & SDK ready 📍ICC Sydney | Booth B2 | July 13–17
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Meet UMR — Universal Mobile Robot 🤖 ✅ Omni mobility, 80kg payload capacity ✅ Advanced multi-sensor integration, self-developed #NAVIS Auto #Navigation ✅ Ready for real-world applications, supporting #SLAM mapping, dynamic obstacle avoidance, auto #inspection & auto recharging
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Learn more about UMR 🔗global.agilex.ai/products/um… Inquiries 📫sales@agilex.ai

global.agilex.ai

AgileX Robotics has developed a full line-up of industry-leading robotics chassis that fully meet all industry requirements, including general unmanned ground vehicle (UGV), indoor global automated...

global.agilex.ai
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Congrats!👏 @sairlab_org & Robotics Institute @CarnegieMellon introduced #neurosymbolic learning for robotics long-horizon task planning, achieving lower failure rate in complex environments. Thanks for choosing #PiPER 6-DoF robotic arm for validation! 🔗full link in comments
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🔗 Learn more about iFlax: sairlab.org/iflax/ 🔗 AgileX PiPER: global.agilex.ai/products/pi…

Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints

Bilevel object-importance learning with robust fail recovery for long-horizon task planning.

sairlab.org
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Here is the Universal Mobile Robot from #AgileXRobotics. Move from labs to smart factories, logistics, warehousing, industrial inspection & more application scenarios. #UMR #Automation #Inspection #MobileRobot #AMR #Robotics #TechInnovation #SLAM #AutonomousNavigation
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48 hours. Real robots. Real prototypes. Build with AgileX #NERO 7-DoF #humanoid robotic arm at the Physical AI Hackathon! 📍Hong Kong Science Park, Aug 2–5 🏆 HK$300K prize pool 🤝 Mentors & investors 💼 Fast-track to 500 tech companies #PhysicalAI #Robotics #Hackathon
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let's head to the physical AI world.. glad to see our #PiPER 6-DoF #robotic arm in action here
Qwen
 @Alibaba_Qwen
Jun 16
Qwen-Robot Suite，enable AI from chatbot to physical action in the real world. More demos, please visit our blog:qwen.ai/blog?id=qwen-robotsu…
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Glad to see our #NERO humanoid robotic arm in real-world deployment!
csgm
 @csgbwk
Jun 30
Update: continuous motion has been achieved internally
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Experience #teleoperation in action at #RSS2026! Meet our #NERO Teleoperation Set — featuring 7-DoF humanoid arms, Universal Master Arm, and Dual-Arm Stand — built for real-world data collection and robot learning. 📍 ICC Sydney |🎪 Booth B2 |⌛ July 13-17 @RoboticsSciSys
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Check out more: global.agilex.ai/

Mobile the World

AgileX Robotics has developed a full line-up of industry-leading robotics chassis that fully meet all industry requirements, including general unmanned ground vehicle (UGV), indoor global automated...

global.agilex.ai
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🚨Less than 24 hours! The #ATEC2026 Online Qualifier will close on June 30, 22:00 (UTC 8). @ATEC_community As official partner, #AgileXRobotics supports innovators with advanced robotic arms #PiPER, PiPER-X, and #NERO. All is READY? #TechInnovation #AI️️️️️️️️️️️
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Wrapping up for @ieee_ras_icra × @WBCDCompetition 2026, we're honored to be official hardware sponsor for WBCD Bio Experiments Track! With #NERO 7-DoF #humanoid robotic arms, teams worldwide tackled key challenges in #BimanualManipulation, #teleoperation, and #RobotLearning 👇
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Congrats to the TSAIL team at @Tsinghua_Uni on PACT! Aligning diffusion policies with physical constraints, PACT achieves 31% fewer safety violations and 30.7% higher task success 👉ethan-iai.github.io/pact/ Proud that our #CobotMagic supported validation! #Robotics #EmbodiedAI
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Learn more about COBOT MAGIC! Based on Mobile ALOHA architecture, it's a mobile dual-arm teleoperation platform for embodied AI research and education 👉global.agilex.ai/products/co…

COBOT Magic

AgileX Robotics has developed a full line-up of industry-leading robotics chassis that fully meet all industry requirements, including general unmanned ground vehicle (UGV), indoor global automated...

global.agilex.ai
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Congrats to @nyuniversity @Tsinghua_Uni and @UMich team on #HUG (Human Universal Grasping), and proud that our #NERO 7-DoF #robotics arm served as the core mobile manipulation platform! HUG achieves zero-shot dexterous grasping 👉grasping.io/
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Learn more about NERO 7-DoF robotics arm: global.agilex.ai/products/ne…
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Meet our SCOUT MINI (Mecanum Wheels) — omnidirectional mobile robot ideal for agile navigation and robotics development: 🔄 Mecanum-wheel drive for 360° omni movement 🧗 10° climbing on rough terrain ⚡️ 1.5 m/s max speed #AgileXRobotics #ScoutMini #ROS #Robotics #EmbodiedAI
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Force sensing without expensive sensors? 🧠🦾 The team at @CMU_Robotics is pushing boundaries with FACTR 2, unlocking native force awareness on standard commodity hardware with <10 mins of training data. Website: jasonjzliu.com/factr2/ Paper: arxiv.org/abs/2606.12406
Deepak Pathak
 @pathak2206
Jun 11
Force is arguably the most overlooked ingredient in modern robot learning. Introducing FACTR 2: it turns *any* commodity robot into a force-aware system with no force sensors required. Train a tiny force network in <1min with <10mins of data and drop it into any existing teleop pipelines: ✅ Free force sensing for both the robot and the operator arm ✅ Makes demos higher-quality → fewer of them needed. ✅ A new force-aware learning algorithm (FIRST) uses those recovered forces to figure out which parts of a demo actually matter, making learning data-efficient. ✅ Strong performance on complex tasks with fewer demos and even no pretraining! More details below.
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