TOPINDIATOURS Hot ai: New 3D printing technique lets soft robots bend, twist, and grasp on

πŸ“Œ TOPINDIATOURS Update ai: New 3D printing technique lets soft robots bend, twist,

Harvard engineers have developed a new 3D printing technique that allows soft robots to bend, twist, and change shape in predictable ways when inflated.

The approach embeds shape-morphing behavior directly into the printed structure, removing much of the guesswork that has long plagued soft robotics design.

Soft robots, typically made from flexible and biocompatible materials, are increasingly attractive for applications ranging from surgery to industrial handling. But controlling how these machines move has remained difficult.

Traditional fabrication relies on molds, layered casting, and surface-patterned air channels, making customization slow and complex.

The new method replaces those steps with a single 3D printing process that creates long, flexible filaments containing precisely positioned hollow channels.

When air is pumped into these channels, the structure bends in specific, preprogrammed directions.

The work was led by graduate student Jackson Wilt and former postdoctoral researcher Natalie Larson in the lab of Jennifer Lewis at Harvard’s John A. Paulson School of Engineering and Applied Sciences.

The team combined several existing printing techniques developed in the Lewis lab into a single fabrication strategy that enables rapid design changes without molds.

The key is a process called rotational multimaterial 3D printing, which uses a single nozzle to print multiple materials at once.

By rotating the nozzle during printing, the researchers can control where different materials are placed inside each filament.

Printing motion into matter

Using this approach, the team printed filaments with a tough polyurethane outer shell and a removable inner core made from a gel-like polymer commonly found in hair products.

By adjusting the nozzle rotation speed, flow rate, and geometry, the researchers controlled the orientation, size, and shape of the inner channel with high precision.

Once the outer shell solidified, the inner gel was washed away, leaving behind hollow channels. These channels act as built-in pneumatic pathways that drive motion when pressurized.

Depending on how the channels are positioned, the filament can bend, twist, or contract in predictable ways.

“We use two materials from a single outlet, which can be rotated to program the direction the robot bends when inflated,” Wilt said.

“Our goals are aligned with creating soft, bio-inspired robots for various applications.”

Unlike conventional soft robotics manufacturing, the method eliminates the need for casting, sealing, and multi-step assembly. Designs can be modified quickly by changing print parameters rather than rebuilding molds.

From flowers to grippers

To demonstrate the technique, the researchers printed a spiral, flower-like actuator in one continuous path that opens and curls when inflated.

They also created a hand-shaped gripper with five digits and defined knuckle joints, showing how complex, articulated motion can be achieved in a single print.

Because the structures are printed from flexible and potentially biocompatible materials, the technology could be useful in areas such as surgical robotics, assistive devices, and human-machine interfaces.

The ability to rapidly customize motion could also benefit soft manufacturing tools designed to handle delicate objects.

Larson, now an assistant professor at Stanford University, and Wilt say the technique offers a new way to think about soft robot design by embedding function directly into printed matter rather than adding it later.

The study was published in Advanced Materials.

πŸ”— Sumber: interestingengineering.com


πŸ“Œ TOPINDIATOURS Hot ai: Anthropic launches Cowork, a Claude Desktop agent that wor

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users β€” and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.

The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not just with OpenAI and Google in conversational AI, but with Microsoft's Copilot in the burgeoning market for AI-powered productivity tools.

"Cowork lets you complete non-technical tasks much like how developers use Claude Code," the company announced via its official Claude account on X. The feature arrives as a research preview available exclusively to Claude Max subscribers β€” Anthropic's power-user tier priced between $100 and $200 per month β€” through the macOS desktop application.

For the past year, the industry narrative has focused on large language models that can write poetry or debug code. With Cowork, Anthropic is betting that the real enterprise value lies in an AI that can open a folder, read a messy pile of receipts, and generate a structured expense report without human hand-holding.

How developers using a coding tool for vacation research inspired Anthropic's latest product

The genesis of Cowork lies in Anthropic's recent success with the developer community. In late 2024, the company released Claude Code, a terminal-based tool that allowed software engineers to automate rote programming tasks. The tool was a hit, but Anthropic noticed a peculiar trend: users were forcing the coding tool to perform non-coding labor.

According to Boris Cherny, an engineer at Anthropic, the company observed users deploying the developer tool for an unexpectedly diverse array of tasks.

"Since we launched Claude Code, we saw people using it for all sorts of non-coding work: doing vacation research, building slide decks, cleaning up your email, cancelling subscriptions, recovering wedding photos from a hard drive, monitoring plant growth, controlling your oven," Cherny wrote on X. "These use cases are diverse and surprising β€” the reason is that the underlying Claude Agent is the best agent, and Opus 4.5 is the best model."

Recognizing this shadow usage, Anthropic effectively stripped the command-line complexity from their developer tool to create a consumer-friendly interface. In its blog post announcing the feature, Anthropic explained that developers "quickly began using it for almost everything else," which "prompted us to build Cowork: a simpler way for anyone β€” not just developers β€” to work with Claude in the very same way."

Inside the folder-based architecture that lets Claude read, edit, and create files on your computer

Unlike a standard chat interface where a user pastes text for analysis, Cowork requires a different level of trust and access. Users designate a specific folder on their local machine that Claude can access. Within that sandbox, the AI agent can read existing files, modify them, or create entirely new ones.

Anthropic offers several illustrative examples: reorganizing a cluttered downloads folder by sorting and intelligently renaming each file, generating a spreadsheet of expenses from a collection of receipt screenshots, or drafting a report from scattered notes across multiple documents.

"In Cowork, you give Claude access to a folder on your computer. Claude can then read, edit, or create files in that folder," the company explained on X. "Try it to create a spreadsheet from a pile of screenshots, or produce a first draft from scattered notes."

The architecture relies on what is known as an "agentic loop." When a user assigns a task, the AI does not merely generate a text response. Instead, it formulates a plan, executes steps in parallel, checks its own work, and asks for clarification if it hits a roadblock. Users can queue multiple tasks and let Claude process them simultaneously β€” a workflow Anthropic describes as feeling "much less like a back-and-forth and much more like leaving messages for a coworker."

The system is built on Anthropic's Claude Agent SDK, meaning it shares the same underlying architecture as Claude Code. Anthropic notes that Cowork "can take on many of the same tasks that Claude Code can handle, but in a more approachable form for non-coding tasks."

The recursive loop where AI builds AI: Claude Code reportedly wrote much of Claude Cowork

Perhaps the most remarkable detail surrounding Cowork's launch is the speed at which the tool was reportedly built β€” highlighting a recursive feedback loop where AI tools are being used to build better AI tools.

During a livestream hosted by Dan Shipper, Felix Rieseberg, an Anthropic employee, confirmed that the team built Cowork in approximately a week and a half.

Alex Volkov, who covers AI developments, expressed surprise at the timeline: "Holy shit Anthropic built 'Cowork' in the last… week and a half?!"

This prompted immediate speculation about how much of Cowork was itself built by Claude Code. Simon Smith, EVP of Generative AI at Klick Health, put it bluntly on X: "Claude Code wrote all of Claude Cowork. Can we all agree that we're in at least somewhat of a recursive improvement loop here?"

The implication is profound: Anthropic's AI coding agent may have substantially contributed to building its own non-technical sibling product. If true, this is one of the most visible examples yet of AI systems being used to accelerate their own development and expansion β€” a strategy that could widen the gap between AI labs that successfully deploy their own agents internally and those that do not.

Connectors, browser automation, and skills extend Cowork's reach beyond the local file system

Cowork doesn't operate in isolation. The feature integrates with Anthropic's existing ecosystem of connectors β€” tools that link Claude to external information sources and services such as Asana, Notion, PayPal, and other supported partners. Users who have configured these connections in the standard Claude interface can leverage them within Cowork sessions.

Additionally, Cowork can pair with Claude in Chrome, Anthropic's browser…

Konten dipersingkat otomatis.

πŸ”— Sumber: venturebeat.com


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