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Cartesian impedance control with virtual springs on each axis. sales email: [email protected] #HighTorqueRobotics #HTPanthera #EmbodiedAI #Robotics #RoboticArm

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High Torque Robotics

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44,701 Aufrufe • vor 6 Monaten •via X (Twitter)

Wissenschaft & Technologie#HighTorqueRobotics#HTPanthera#EmbodiedAI#Robotics#RoboticArm
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China’s pretty humanoid robot stuns by opening a car door in a ‘world’s first’ | Jijo Malayil, Interesting Engineering Mornine used onboard sensors and full-body control to locate the handle, adjust posture, and open a car door—no human input needed. AiMOGA Robotics has claimed to have reached a significant milestone in embodied AI with its humanoid robot, Mornine, autonomously opening a car door inside a functioning Chery dealership in China. Relying solely on onboard sensors, full-body motion control, and end-to-end reinforcement learning, Mornine performed the task without any human input. Unlike scripted or teleoperated robots, Mornie identified the door handle, adjusted its posture, and used coordinated force across its limbs and torso to complete the action—demonstrating advanced autonomy in a real-world setting. “The deployment marks one of the first instances of a service robot executing such a high-friction, physical interaction in a live commercial setting,” said the firm in a statement. In April, at the Shanghai Auto Show, automotive brands Omoda and Jaecoo, subsidiaries of Chery Automobile, introduced Mornine, designed for use in car dealerships. From sim to service Opening a car door may seem like a simple task, but AiMOGA Robotics views it as a pivotal moment in robotics—signaling a shift from simulation to real-world service, and from basic command execution to autonomous capability. Using only onboard sensors and full-body motion control, Mornine identified the door handle, adjusted her posture, and applied coordinated force across her limbs to open the door—entirely without human intervention. Mornine’s advanced sensor suite includes 3D LiDAR, depth and wide-angle cameras, and a visual-language model (VLM), enabling real-time perception of door position and opening status. Uniquely, Mornine wasn’t explicitly programmed to recognize door handles. Instead, she learned through reinforcement learning, undergoing millions of simulated cycles to focus on the right region and perform the task independently. “We never explicitly told the robot what a door handle is. It learned to focus on that region by itself,” said the engineering team at AiMOGA Robotics in a statement. The learned model was transferred to the real world using Sim2Real methods. Mornine continuously gathers live sensor data during operation, which feeds into a cloud-based training loop, allowing her to improve through continuous learning in real-world settings, reports Robotics Tomorrow. Now active in multiple Chery 4S dealerships in China, Mornine not only opens car doors but also assists with customer greetings, vehicle introductions, and item delivery—marking a step forward in humanoid robotics for commercial retail environments. AI meets retail Originally introduced as the AiMOGA Robot, Mornine was developed to support dealership sales by performing tasks such as explaining vehicle specifications, leading showroom tours, serving refreshments, and engaging with customers in multiple languages. First conceived by Chery as a virtual character to appeal to Generation Z using metaverse and virtual human technologies, Mornine gradually evolved into a real-world interactive humanoid. After multiple iterations of character and model design, Mornine debuted as a digital persona in animations, livestreams, and promotional content, gaining brand recognition. Chery later expanded the concept beyond the virtual space, resulting in the creation of the AiMOGA humanoid robot. Leveraging Chery’s expertise in autonomous driving, environmental sensing, and control systems, AiMOGA features full-stack capabilities in perception, cognition, decision-making, and execution. It uses multimodal sensing—combining speech, vision, and environmental data—to interpret user gestures, commands, and showroom dynamics. A bionic motion system and automotive-grade hardware enable dexterous movement and upright mobility, while multi-robot collaboration allows for coordinated tasks like guided tours. At the decision-making layer, Deepseek’s large language models enable natural language understanding and personalized interaction. In April 2025, Mornine officially began commercial service as an “Intelligent Sales Consultant” at the OMODA C5 JOYSTAR 4S dealership in Kuala Lumpur, Malaysia—marking her full transition from a virtual concept to a real-world humanoid sales assistant.
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🌋A Mega thread on Axis Robotics Hub & Tasks 💰Funding - $12M 💯FREE 🆕Axis is building the data engine powering the next generation of Physical AI ✅Their activity hub is live ✅Join & complete task to climb leaderboard 👇Steps 🔗 ✅Login with email ✅Watch tutorial ✅Scroll to see available task ✅Select a task ⚠️First time u will land in cubes loading page, wait 5min ✅Ur robot will load 🎮Check the controls on left ✅Check the task description ✅Example put apple in bowl ✅Now use controls to operate robot ✅Complete the task ✅U will get success msg if u complete it ⚠️It feels difficult at start, keep trying to get used to ✅Everyone can complete the public tasks 🤖Currently 18 public tasks available 😉There is special task list 🎟️U need code to access those tasks 👇Steps ✅Go to Alliance tab ✅Select any BitRobot task ✅It will ask code, u can input the code if u have ✅There r 300+ tasks under this 😉I have few codes I will plan something 👇3 codes FCFS BITROBOT-165D3C51 BITROBOT-CCF4F7C1 BITROBOT-C980F7FB 😉Rest I will plan 👇Other ways to earn code 🔗 ✅Join Discord ✅Understand roles & how to earn ✅Earn one of the role from X, Y or Z ✅U get access code with this role 🤏Only few users have this roles 🥉X Axis - 524 users 🥈Y Axis - 150 🥇Z Axis - 42 🏆Leaderboard is based on Avg score & number task u completed 💙Like 🔁RT

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Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing discuss: We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal precision. Instead of directly learning a joint policy to control two hands, our approach performs bimanual control through cooperative learning where each hand is treated as an individual agent. The individual policies for each hand are first trained separately, and then synchronized through latent space manipulation in a centralized environment to serve as a joint policy for two-hand control. By doing so, we avoid directly performing policy learning in the joint state-action space of two hands with higher dimensions, greatly improving the overall training efficiency. We demonstrate the effectiveness of our proposed approach in the challenging guitar-playing task. The virtual guitarist trained by our approach can synthesize motions from unstructured reference data of general guitar-playing practice motions, and accurately play diverse rhythms with complex chord pressing and string picking patterns based on the input guitar tabs that do not exist in the references. Along with this paper, we provide the motion capture data that we collected as the reference for policy training.
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Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing discuss: We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal precision. Instead of directly learning a joint policy to control two hands, our approach performs bimanual control through cooperative learning where each hand is treated as an individual agent. The individual policies for each hand are first trained separately, and then synchronized through latent space manipulation in a centralized environment to serve as a joint policy for two-hand control. By doing so, we avoid directly performing policy learning in the joint state-action space of two hands with higher dimensions, greatly improving the overall training efficiency. We demonstrate the effectiveness of our proposed approach in the challenging guitar-playing task. The virtual guitarist trained by our approach can synthesize motions from unstructured reference data of general guitar-playing practice motions, and accurately play diverse rhythms with complex chord pressing and string picking patterns based on the input guitar tabs that do not exist in the references. Along with this paper, we provide the motion capture data that we collected as the reference for policy training.

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This is what Democrats have done to Minneapolis, Minnesota Crime and drug sales have gotten so bad, private security companies for apartment complexes are pulling contracts and no longer servicing the area “Monday, I get a text from my property management company saying that they've retained an outside security company to address the numerous complaints about loitering and drug sales in the neighborhood. ‘Beginning today, you will see these security personnel around the properties and in the neighborhood goes on and on about procedures’ Okay. Today's Wednesday. It's two days later, I get an email from my property management company, and they said, we're disappointed to share that the security company that was hired has pulled out of the neighborhood. ‘After a day and a half of doing recon and observing activity in the neighborhood, they decided the problems with crime exceed their resources to control. We will continue to work with organizations and neighborhood and explore other options to improve public safety’”
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This is what Democrats have done to Minneapolis, Minnesota Crime and drug sales have gotten so bad, private security companies for apartment complexes are pulling contracts and no longer servicing the area “Monday, I get a text from my property management company saying that they've retained an outside security company to address the numerous complaints about loitering and drug sales in the neighborhood. ‘Beginning today, you will see these security personnel around the properties and in the neighborhood goes on and on about procedures’ Okay. Today's Wednesday. It's two days later, I get an email from my property management company, and they said, we're disappointed to share that the security company that was hired has pulled out of the neighborhood. ‘After a day and a half of doing recon and observing activity in the neighborhood, they decided the problems with crime exceed their resources to control. We will continue to work with organizations and neighborhood and explore other options to improve public safety’”

Wall Street Apes

324,197 Aufrufe • vor 1 Jahr

We prepared 18 tasks that were expected to be finished within a week, and they were all completed within 24 hours of launch. This all comes from people's conviction that simulation is a key way to solve the data scarcity in today's physical AI development. Axis has not announced any VC backing yet, and we haven't done any paid marketing. All user growth has been organic, coming from loyal community members who truly believe in what we do and what we are here to achieve. I appreciate everyone's patience and passion for Axis Robotics. Your contribution is valuable. The issue with "task not completed" came from our mission checker being too strict. We are on track to solve this in two ways: 1, We will try to highlight the region in red in the future to provide clear guidance for the mission completion range. 2, We will see if we can provide a tutorial video for each task. keep buidling~
0:27

We prepared 18 tasks that were expected to be finished within a week, and they were all completed within 24 hours of launch. This all comes from people's conviction that simulation is a key way to solve the data scarcity in today's physical AI development. Axis has not announced any VC backing yet, and we haven't done any paid marketing. All user growth has been organic, coming from loyal community members who truly believe in what we do and what we are here to achieve. I appreciate everyone's patience and passion for Axis Robotics. Your contribution is valuable. The issue with "task not completed" came from our mission checker being too strict. We are on track to solve this in two ways: 1, We will try to highlight the region in red in the future to provide clear guidance for the mission completion range. 2, We will see if we can provide a tutorial video for each task. keep buidling~

郡主Christine (✱,✱)

12,955 Aufrufe • vor 4 Monaten

We launched on Y Combinator yesterday (@slashyai). So I took the team out for a rooftop party. While in line for samosas, I happened to meet someone who was in sales ops and management at a FORTUNE 500 company. He was telling me how, despite having top-tier reps, his team still struggles to close. I asked him if he ever reviewed the calls that didn’t convert. “I used to use meeting recorders, but I didn’t have time to read through everything or even make notes to give to my reps.” So I asked for his email and went straight home. I then whipped up a Slashy automation to send to him. Now, for every sales call, Slashy: 1. Reads through the knowledge base of lost deal data and sales call notes, finding patterns in common objections and industry-specific trends 2. Creates personalized scripts for each rep depending on what they struggle the most with 3. Creates realistic scenarios for them to practice 4. Builds specific plans to track and measure their improvement He’s now a dedicated Slashy user.
0:35

We launched on Y Combinator yesterday (@slashyai). So I took the team out for a rooftop party. While in line for samosas, I happened to meet someone who was in sales ops and management at a FORTUNE 500 company. He was telling me how, despite having top-tier reps, his team still struggles to close. I asked him if he ever reviewed the calls that didn’t convert. “I used to use meeting recorders, but I didn’t have time to read through everything or even make notes to give to my reps.” So I asked for his email and went straight home. I then whipped up a Slashy automation to send to him. Now, for every sales call, Slashy: 1. Reads through the knowledge base of lost deal data and sales call notes, finding patterns in common objections and industry-specific trends 2. Creates personalized scripts for each rep depending on what they struggle the most with 3. Creates realistic scenarios for them to practice 4. Builds specific plans to track and measure their improvement He’s now a dedicated Slashy user.

Pranjali Awasthi

11,402 Aufrufe • vor 11 Monaten

Another inspiring Bitcoin story Buena Vista, Colorado is becoming a new Bitcoin hub * already 19 businesses onboarded already (more than Colorado Spings) * Chamber of Commerce actively promoting it * Feedback from businesses (who were not bitcoiners) includes: "Our instore sales have increased, and 20% of our sales are now in Bitcoin" "it feels cleaner" "it feels more natural" "1 in 8 of our sales are now in Bitcoin" How did this happen? One person who in his spare time doing something we can all do - talking to people with a mindset of service. Luke Cortese(Bitcoin Ranger) is the honeybadger who has been behind this incredible story. But it gets better Each month he runs a "treasure hunt" where new members of the community learn about Bitcoin. 25 new people started using Bitcoin on the last one. AND He's open sourcing the model so other small towns across the country can start onboarding new businesses. He's already gotten enquiries from neighboring towns, and states.
1:26

Another inspiring Bitcoin story Buena Vista, Colorado is becoming a new Bitcoin hub * already 19 businesses onboarded already (more than Colorado Spings) * Chamber of Commerce actively promoting it * Feedback from businesses (who were not bitcoiners) includes: "Our instore sales have increased, and 20% of our sales are now in Bitcoin" "it feels cleaner" "it feels more natural" "1 in 8 of our sales are now in Bitcoin" How did this happen? One person who in his spare time doing something we can all do - talking to people with a mindset of service. Luke Cortese(Bitcoin Ranger) is the honeybadger who has been behind this incredible story. But it gets better Each month he runs a "treasure hunt" where new members of the community learn about Bitcoin. 25 new people started using Bitcoin on the last one. AND He's open sourcing the model so other small towns across the country can start onboarding new businesses. He's already gotten enquiries from neighboring towns, and states.

Daniel Batten

11,696 Aufrufe • vor 2 Monaten

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales
8:44

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales

Eoghan McCabe

73,361 Aufrufe • vor 3 Monaten