📌 MAROKO133 Update ai: Watch Boston Dynamics’ Atlas humanoid robot amazes with fla
Engineers at Boston Dynamics have released new test footage of the Atlas humanoid robot, showcasing its advanced balance and mobility.
The robot is seen shifting from standing on two feet into unusual, off-center positions, repeatedly challenging its stability with each movement.
Atlas shifts onto one leg with coordinated arm balance, then places both hands down and smoothly transitions into a controlled handstand.
In January 2025, Atlas was showcased performing complex movements, showing simulation-trained control can transfer to real-world robots and future factory use.
Dynamic motion leap
New footage from Boston Dynamics showcases the Atlas humanoid robot executing a sequence of advanced balance and gymnastics maneuvers that underscore the system’s evolving control capabilities.
The robot transitions from a stable standing posture into a fully inverted handstand, supporting its entire body weight on its palms despite the limited contact area. While inverted, it rotates its legs forward in a controlled 180-degree arc, enabled by highly flexible shoulder joints that allow smooth forward and backward motion, reports Techeblog.
Atlas then reverses direction, extending its legs backward into a sustained L-sit position, holding the posture steadily for several seconds. The routine continues with fluid recovery motions as the robot returns upright and performs additional dynamic movements with minimal instability.
Each action demonstrates precise coordination across its upper body, core, and limbs, with real-time adjustments through joints such as the hips and ankles to maintain balance and absorb impact forces. Reports suggest that these demonstrations highlight the sophistication of Atlas’s whole-body control system, pointing toward practical applications where robots must operate in complex, constrained environments.
Atlas humanoid robot nears production
In the last few months, Boston Dynamics has been approaching the final phase of testing for the Atlas humanoid research platform, using high-intensity acrobatic trials to validate its underlying control architecture before transitioning to a production-ready system.
In collaboration with the Robotics & AI Institute, the robot has been subjected to complex full-body motions—including dynamic locomotion, aerial maneuvers, and recovery from instability—to stress-test its software stack.
At the core of these demonstrations is a unified, simulation-trained control framework based on reinforcement learning. Unlike traditional robotics pipelines that separate locomotion and manipulation, Atlas uses a whole-body learning approach that coordinates arms, legs, torso, and joints as a single system.
According to the firm, it enables behaviors such as cartwheels, backflips, and rapid balance correction to emerge from the same policy that governs walking. The system is designed for “zero-shot” transfer, meaning policies trained in simulation can be deployed directly onto hardware without task-specific tuning.
The control stack continuously adjusts joint torques and contact forces in real time, allowing Atlas to absorb impacts, recover from missteps, and maintain stability during unpredictable interactions. These capabilities are further enhanced by full-body contact strategies, where limbs dynamically assist balance and motion rather than operating independently.
While the research version of Atlas performs acrobatics for demonstrations, the production model is being readied for industrial use. The enterprise-focused Atlas is built for large-scale manufacturing, featuring 56 degrees of freedom and a four-digit, tactile-sensing gripper.
Hyundai Motor Group, of which Boston Dynamics is a subsidiary of, has confirmed deployment at the Hyundai Motor Group Metaplant America by 2028, where initial duties will involve parts sequencing before expanding into full component assembly by 2030.
🔗 Sumber: interestingengineering.com
📌 MAROKO133 Eksklusif ai: Salesforce rolls out new Slackbot AI agent as it battles
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees.
The new Slackbot, now generally available to Business+ and Enterprise+ customers, is Salesforce's most aggressive move yet to position Slack at the center of the emerging "agentic AI" movement — where software agents work alongside humans to complete complex tasks. The launch comes as Salesforce attempts to convince investors that artificial intelligence will bolster its products rather than render them obsolete.
"Slackbot isn't just another copilot or AI assistant," said Parker Harris, Salesforce co-founder and Slack's chief technology officer, in an exclusive interview with Salesforce. "It's the front door to the agentic enterprise, powered by Salesforce."
From tricycle to Porsche: Salesforce rebuilt Slackbot from the ground up
Harris was blunt about what distinguishes the new Slackbot from its predecessor: "The old Slackbot was, you know, a little tricycle, and the new Slackbot is like, you know, a Porsche."
The original Slackbot, which has existed since Slack's early days, performed basic algorithmic tasks — reminding users to add colleagues to documents, suggesting channel archives, and delivering simple notifications. The new version runs on an entirely different architecture built around a large language model and sophisticated search capabilities that can access Salesforce records, Google Drive files, calendar data, and years of Slack conversations.
"It's two different things," Harris explained. "The old Slackbot was algorithmic and fairly simple. The new Slackbot is brand new — it's based around an LLM and a very robust search engine, and connections to third-party search engines, third-party enterprise data."
Salesforce chose to retain the Slackbot brand despite the fundamental technical overhaul. "People know what Slackbot is, and so we wanted to carry that forward," Harris said.
Why Anthropic's Claude powers the new Slackbot — and which AI models could come next
The new Slackbot runs on Claude, Anthropic's large language model, a choice driven partly by compliance requirements. Slack's commercial service operates under FedRAMP Moderate certification to serve U.S. federal government customers, and Harris said Anthropic was "the only provider that could give us a compliant LLM" when Slack began building the new system.
But that exclusivity won't last. "We are, this year, going to support additional providers," Harris said. "We have a great relationship with Google. Gemini is incredible — performance is great, cost is great. So we're going to use Gemini for some things." He added that OpenAI remains a possibility as well.
Harris echoed Salesforce CEO Marc Benioff's view that large language models are becoming commoditized: "You've heard Marc talk about LLMs are commodities, that they're democratized. I call them CPUs."
On the sensitive question of training data, Harris was unequivocal: Salesforce does not train any models on customer data. "Models don't have any sort of security," he explained. "If we trained it on some confidential conversation that you and I have, I don't want Carolyn to know — if I train it into the LLM, there is no way for me to say you get to see the answer, but Carolyn doesn't."
Inside Salesforce's internal experiment: 80,000 employees tested Slackbot with striking results
Salesforce has been testing the new Slackbot internally for months, rolling it out to all 80,000 employees. According to Ryan Gavin, Slack's chief marketing officer, the results have been striking: "It's the fastest adopted product in Salesforce history."
Internal data shows that two-thirds of Salesforce employees have tried the new Slackbot, with 80% of those users continuing to use it regularly. Internal satisfaction rates reached 96% — the highest for any AI feature Slack has shipped. Employees report saving between two and 20 hours per week.
The adoption happened largely organically. "I think it was about five days, and a Canvas was developed by our employees called 'The Most Stealable Slackbot Prompts,'" Gavin said. "People just started adding to it organically. I think it's up to 250-plus prompts that are in this Canvas right now."
Kate Crotty, a principal UX researcher at Salesforce, found that 73% of internal adoption was driven by social sharing rather than top-down mandates. "Everybody is there to help each other learn and communicate hacks," she said.
How Slackbot transforms scattered enterprise data into executive-ready insights
During a product demonstration, Amy Bauer, Slack's product experience designer, showed how Slackbot can synthesize information across multiple sources. In one example, she asked Slackbot to analyze customer feedback from a pilot program, upload an image of a usage dashboard, and have Slackbot correlate the qualitative and quantitative data.
"This is where Slackbot really earns its keep for me," Bauer explained. "What it's doing is not just simply reading the image — it's actually looking at the image and comparing it to the insight it just generated for me."
Slackbot can then query Salesforce to find enterprise accounts with open deals that might be good candidates for early access, creating what Bauer called "a really great justification and plan to move forward." Finally, it can synthesize all that information into a Canvas — Slack's collaborative document format — and find calendar availability among stakeholders to schedule a review meeting.
"Up until this point, we have been working in a one-to-one capacity with Slackbot," Bauer said. "But one of the benefits that I can do now is take this insight and have it generate this into a Canvas, a shared workspace where I can iterate on it, refine it with Slackbot, or share it out with my team."
Rob Seaman, Slack's chief product officer, said the Canvas creation demonstrates where the product is heading: "This is making a tool call internally to Slack Canvas to actually write, effectively, a shared document. But it signals where we're going with Slackbot — we're eventually going to be adding in additional third-party tool calls."
MrBeast's company became a Slackbot guinea pig—and employees say they're saving 90 minutes a day
Among Salesforce's pilot customers is Beast Industries, the parent company of YouTube star MrBeast. Luis Madrigal, the company's chief information officer, joined the launch announcement to describe his experience.
"As somebody who has rolled out enterprise technologies for over two decades now, this was practically one of the easiest," Madrigal …
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🔗 Sumber: venturebeat.com
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