• bitcoinBitcoin(BTC)$84,423.000.45%
  • ethereumEthereum(ETH)$2,686.33-0.07%
  • tetherTether(USDT)$1.000.00%
  • binancecoinBNB(BNB)$775.530.34%
  • rippleXRP(XRP)$1.52-1.12%
  • usd-coinUSDC(USDC)$1.000.00%
  • solanaSolana(SOL)$121.860.56%
  • tronTRON(TRX)$0.333803-0.70%
  • zcashZcash(ZEC)$1,581.031.29%
  • Figure HelocFigure Heloc(FIGR_HELOC)$1.063.08%
  • HyperliquidHyperliquid(HYPE)$91.47-0.81%
  • dogecoinDogecoin(DOGE)$0.096681-1.22%
  • chainlinkChainlink(LINK)$14.10-1.28%
  • moneroMonero(XMR)$545.41-2.02%
  • whitebitWhiteBIT Coin(WBT)$84.260.40%
  • USDSUSDS(USDS)$1.00-0.01%
  • cardanoCardano(ADA)$0.253711-1.08%
  • RainRain(RAIN)$0.012567-5.65%
  • leo-tokenLEO Token(LEO)$9.061.12%
  • stellarStellar(XLM)$0.215427-1.45%
  • nearNEAR Protocol(NEAR)$5.216.84%
  • bitcoin-cashBitcoin Cash(BCH)$334.54-0.97%
  • uniswapUniswap(UNI)$9.700.98%
  • litecoinLitecoin(LTC)$71.07-1.81%
  • CantonCanton(CC)$0.134934-1.96%
  • suiSui(SUI)$1.244.70%
  • Ethena USDeEthena USDe(USDE)$1.000.03%
  • avalanche-2Avalanche(AVAX)$10.930.33%
  • the-open-networkGram (prev. Toncoin)(GRAM)$1.689.44%
  • daiDai(DAI)$1.000.01%
  • USD1USD1(USD1)$1.00-0.02%
  • hedera-hashgraphHedera(HBAR)$0.093521-0.87%
  • BittensorBittensor(TAO)$323.44-2.44%
  • shiba-inuShiba Inu(SHIB)$0.000006-1.75%
  • crypto-com-chainCronos(CRO)$0.0670491.86%
  • Global DollarGlobal Dollar(USDG)$1.00-0.01%
  • BitwayBitway(BTW)$1.1911.90%
  • EthenaEthena(ENA)$0.2784042.65%
  • paypal-usdPayPal USD(PYUSD)$1.00-0.01%
  • quant-networkQuant(QNT)$185.7852.46%
  • MemeCoreMemeCore(M)$1.18-3.15%
  • tether-goldTether Gold(XAUT)$4,279.680.02%
  • OndoOndo(ONDO)$0.551.86%
  • okbOKB(OKB)$121.03-0.26%
  • Ripple USDRipple USD(RLUSD)$1.000.01%
  • Circle USYCCircle USYC(USYC)$1.140.00%
  • aaveAave(AAVE)$154.64-0.50%
  • BlackRock USD Institutional Digital Liquidity FundBlackRock USD Institutional Digital Liquidity Fund(BUIDL)$1.000.00%
  • Ondo US Dollar YieldOndo US Dollar Yield(USDY)$1.15-0.07%
  • Pump.funPump.fun(PUMP)$0.0048629.23%
TradePoint.io
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop
No Result
View All Result
TradePoint.io
No Result
View All Result

Apple’s ELEGNT framework could make home robots feel less like machines and more like companions

February 7, 2025
in AI & Technology
Reading Time: 4 mins read
A A
Apple’s ELEGNT framework could make home robots feel less like machines and more like companions
ShareShareShareShareShare

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More


Apple researchers have developed a new framework for making non-humanoid robots move more naturally and expressively during interactions with people, potentially paving the way for more engaging robotic assistants in homes and workplaces.

YOU MAY ALSO LIKE

How To Improve Your Router’s Security In 10 Minutes

Humanoid Robots Are Getting Even Creepier (This One Can Cry On Command)

The research, published this month on arXiv, introduces Expressive and Functional Movement Design ELEGNT, which allows robots to convey intentions, emotions and attitudes through their movements — rather than just completing functional tasks.

“For robots to interact more naturally with humans, robot movement design should integrate expressive qualities — such as intention, attention and emotions — alongside traditional functional considerations like task fulfillment, spatial constraints and time efficiency,” the researchers from Apple’s robotics team write in their research paper.

(Credit: Apple)

How a desk lamp became the perfect test subject for robot emotions

The study focused on a lamp-like robot, reminiscent of Pixar’s animated Luxo Jr. character, equipped with a 6-axis robotic arm and a head containing a light and projector. The researchers programmed the robot with two types of movements: purely functional ones focused on completing tasks, and more expressive movements designed to communicate the robot’s internal state.

In user testing with 21 participants, the expressive movements significantly improved people’s engagement with and perception of the robot. This effect was especially pronounced during social tasks like playing music or engaging in conversation, although it was less impactful for purely functional tasks like adjusting lighting.

“Without the playfulness, I might find this type of interaction with a robot annoying rather than welcome and engaging,” noted one study participant, highlighting how expressive movements made even potentially intrusive robot behaviors more acceptable.

A visual guide showing the expressive movement vocabulary developed for the lamp-like robot, including basic gestures and spatial behaviors. (Credit: Apple)

User testing reveals age gap in robot movement preferences

The research comes as major tech companies increasingly explore home robotics. While most current home robots like robot vacuums focus purely on function, this work suggests that adding more natural, expressive movements could make future robots more appealing companions.

However, the researchers note that balance is crucial. “There needs to be a balance between engagement through motion and speed completion of the task being given, otherwise the human might grow impatient,” one participant observed.

The study also found that older participants were significantly less receptive to expressive robot movements, suggesting that robot behavior may need to be customized based on user preferences.

The robot’s capabilities span from functional tasks like providing reading light to social interactions such as creative suggestions and playful companionship. (Credit: Apple)

The future of social robotics: Finding the sweet spot between function and expression

While Apple rarely discusses its robotics research publicly, this work offers intriguing hints about how the tech giant might approach future home robots. The study suggests a fundamental shift in robotics design: Instead of focusing solely on what robots can do, companies must consider how robots make people feel.

The challenge ahead lies not just in programming robots to complete tasks, but in making their presence welcome in our most intimate spaces. As robots transition from factory floors to living rooms, their success may depend less on raw efficiency and more on their ability to read the room — both literally and metaphorically.

Apple’s paper will be presented at the 2025 Designing Interactive Systems conference in Madeira this July.

The results point to a future where robot design requires as much input from animators and behavioral psychologists as it does from engineers.

As robots become more common in homes and workplaces, making them move in ways that feel natural rather than mechanical could be the difference between another forgotten gadget and a truly indispensable companion. The real test will be whether companies like Apple can translate these research insights into products that people not only use, but genuinely want to interact with.

Daily insights on business use cases with VB Daily

If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.

Read our Privacy Policy

Thanks for subscribing. Check out more VB newsletters here.

An error occured.

Credit: Source link
ShareTweetSendSharePin

Related Posts

How To Improve Your Router’s Security In 10 Minutes
AI & Technology

How To Improve Your Router’s Security In 10 Minutes

September 27, 2026
Humanoid Robots Are Getting Even Creepier (This One Can Cry On Command)
AI & Technology

Humanoid Robots Are Getting Even Creepier (This One Can Cry On Command)

September 27, 2026
AI Coding Agents for Enterprise: IP Indemnity, Data Residency and 500-Seat Cost Compared
AI & Technology

AI Coding Agents for Enterprise: IP Indemnity, Data Residency and 500-Seat Cost Compared

September 27, 2026
A Coding Guide to Google Research’s MSEB: Writing Sound Encoders to the Benchmark Contract and Scoring Them Across Classification, Clustering, Retrieval and Segmentation
AI & Technology

A Coding Guide to Google Research’s MSEB: Writing Sound Encoders to the Benchmark Contract and Scoring Them Across Classification, Clustering, Retrieval and Segmentation

September 27, 2026
Next Post
Meta plans to begin slashing 5% of low-performers on Monday: report

Meta plans to begin slashing 5% of low-performers on Monday: report

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Search

No Result
View All Result
Full Episode: TODAY Show – Aug. 31

Full Episode: TODAY Show – Aug. 31

September 20, 2026
Eagles’ Ja’Quinden Jackson taken off field in ambulance

Eagles’ Ja’Quinden Jackson taken off field in ambulance

September 25, 2026
SCOTUS allows Trump’s mail-in ballot executive order

SCOTUS allows Trump’s mail-in ballot executive order

September 24, 2026

About

Learn more

Our Services

Legal

Privacy Policy

Terms of Use

Bloggers

Learn more

Article Links

Contact

Advertise

Ask us anything

©2020- TradePoint.io - All rights reserved!

Tradepoint.io, being just a publishing and technology platform, is not a registered broker-dealer or investment adviser. So we do not provide investment advice. Rather, brokerage services are provided to clients of Tradepoint.io by independent SEC-registered broker-dealers and members of FINRA/SIPC. Every form of investing carries some risk and past performance is not a guarantee of future results. “Tradepoint.io“, “Instant Investing” and “My Trading Tools” are registered trademarks of Apperbuild, LLC.

This website is operated by Apperbuild, LLC. We have no link to any brokerage firm and we do not provide investment advice. Every information and resource we provide is solely for the education of our readers. © 2020 Apperbuild, LLC. All rights reserved.

No Result
View All Result
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop

© 2023 - TradePoint.io - All Rights Reserved!