正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Jitendra Malik rants about parallel-jaw grippers being inadequate; he believes multi-fingered hands with tactile sensing are necessary for advanced dexterous manipulation. Malik is a Professor at UC Berkeley and a Distinguished Scientist at Amazon.

The Humanoid Hub

115,801 subscribers

23,420 次观看 • 7 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

5 条评论

The Humanoid Hub 的头像

The Humanoid Hub7 个月前

"If you remember one slide from this talk, this should be it."

ISKIN 的头像

ISKIN7 个月前

Parallel grippers scale in factories. They don’t scale to the real world. Industry optimized for repeatability. Reality requires adaptability. Dexterity isn’t luxury - it’s bandwidth. More fingers + tactile sensing = higher manipulation entropy.

Nick K 的头像

Nick K7 个月前

And hopefully that one day is soon!

Damian @ The Lighthouse 🤖💡🏠 的头像

Damian @ The Lighthouse 🤖💡🏠7 个月前

@realOliverStark Agree

Stefano Galloni 的头像

Stefano Galloni7 个月前

Once manipulation is solved… robots truly leave the lab.

相关视频

One engineering challenge in dexterous Robot hands is balancing strength and speed. Here a SharpaWave performing rapid hand cycles at over 4x/sec. The Dynamic Tactile Array uses visuo-tactile sensing: fingertip integrates camera & 1,000+ tactile pixels.

One engineering challenge in dexterous Robot hands is balancing strength and speed. Here a SharpaWave performing rapid hand cycles at over 4x/sec. The Dynamic Tactile Array uses visuo-tactile sensing: fingertip integrates camera & 1,000+ tactile pixels.

Rohan Paul

27,256 次观看 • 2 个月前

🤖ROBOTS ARE GETTING SMARTER AT TOUCHING THE REAL WORLD Researchers from UC Berkeley, NVIDIA and Stanford introduced T-Rex, a framework that combines vision, language and tactile sensing. Instead of relying on cameras alone, robots can now respond to physical contact in real time. Robots are no longer just seeing objects. They’re learning how to FEEL them.

🤖ROBOTS ARE GETTING SMARTER AT TOUCHING THE REAL WORLD Researchers from UC Berkeley, NVIDIA and Stanford introduced T-Rex, a framework that combines vision, language and tactile sensing. Instead of relying on cameras alone, robots can now respond to physical contact in real time. Robots are no longer just seeing objects. They’re learning how to FEEL them.

Coin Bureau

28,275 次观看 • 3 个月前

All Kamala can do is repeat the same lines about 'growing up middle class.' Her mother had a PhD and worked as a scientist at Berkeley... and her father had a PhD and was a professor at Stanford. Scamala Harris was far from middle class... it's just another campaign lie.

All Kamala can do is repeat the same lines about 'growing up middle class.' Her mother had a PhD and worked as a scientist at Berkeley... and her father had a PhD and was a professor at Stanford. Scamala Harris was far from middle class... it's just another campaign lie.

Tim Young

905,342 次观看 • 2 年前

Robots need to feel the world to operate in it. Most manipulation policies today are tactile-blind. They either cannot interpret high-frequency tactile signals or treat them as a static channel. And the field lacks enough touch-rich datasets to train tactile-reactive policies at scale. T-Rex was built to answer both. Dantong Niu and team, advised by Jim Fan, Fei-Fei Li, Jitendra MALIK, Pieter Abbeel trevordarrell have tested whether a robot policy can react to high-frequency tactile signals the way human hands do, without giving up the generalization power of modern VLAs. The result: 65% average success rate across 12 real-world tasks. +30 absolute points over the strongest baseline. In one year, tactile VLAs have gone from promising to outperforming non-tactile baselines like pi0.5 on dexterous tasks. #Robotics #SharpaWave #Sharpa #EmbodiedAI #DexterousManipulation #TactileSensing #RobotLearning Project link:

Robots need to feel the world to operate in it. Most manipulation policies today are tactile-blind. They either cannot interpret high-frequency tactile signals or treat them as a static channel. And the field lacks enough touch-rich datasets to train tactile-reactive policies at scale. T-Rex was built to answer both. Dantong Niu and team, advised by Jim Fan, Fei-Fei Li, Jitendra MALIK, Pieter Abbeel trevordarrell have tested whether a robot policy can react to high-frequency tactile signals the way human hands do, without giving up the generalization power of modern VLAs. The result: 65% average success rate across 12 real-world tasks. +30 absolute points over the strongest baseline. In one year, tactile VLAs have gone from promising to outperforming non-tactile baselines like pi0.5 on dexterous tasks. #Robotics #SharpaWave #Sharpa #EmbodiedAI #DexterousManipulation #TactileSensing #RobotLearning Project link:

Sharpa

12,957 次观看 • 3 个月前

Touch alone isn’t enough. 🖐️ For robotics, tactile intelligence truly levels up when touch gains spatial meaning. At #ICRA2026, we dove into the core concept behind SaTA: Spatially-anchored Tactile Awareness for robust, dexterous manipulation. Read it here: The challenge is fundamental: a robot shouldn’t just register a touch, it needs to understand exactly where that contact occurs relative to its fingers, joints, and overall hand structure. This is the missing link that turns raw data into precise, real-time adjustments during manipulation. Why does this matter? Because the most complex part of any manipulation task happens when vision is at its least reliable, that final millimeter before insertion, sliding, gripping, or fine-tuning. At Sharpa, this is exactly why we’re building tactile hands and tactile AI in tandem. 🚀 #Sharpa #Robotics #EmbodiedAI #TactileIntelligence #ICRA2026 #DexterousManipulation 📷

Touch alone isn’t enough. 🖐️ For robotics, tactile intelligence truly levels up when touch gains spatial meaning. At #ICRA2026, we dove into the core concept behind SaTA: Spatially-anchored Tactile Awareness for robust, dexterous manipulation. Read it here: The challenge is fundamental: a robot shouldn’t just register a touch, it needs to understand exactly where that contact occurs relative to its fingers, joints, and overall hand structure. This is the missing link that turns raw data into precise, real-time adjustments during manipulation. Why does this matter? Because the most complex part of any manipulation task happens when vision is at its least reliable, that final millimeter before insertion, sliding, gripping, or fine-tuning. At Sharpa, this is exactly why we’re building tactile hands and tactile AI in tandem. 🚀 #Sharpa #Robotics #EmbodiedAI #TactileIntelligence #ICRA2026 #DexterousManipulation 📷

Sharpa

15,168 次观看 • 3 个月前

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.

SciTech Era

39,388 次观看 • 6 个月前

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,249 次观看 • 6 个月前

“A cutting edge blueprint for the future of semiconductor chip design, called ‘RISC-V’… got it’s start right here on the campus of UC Berkeley. The same Berkeley professor who helped create the technology, is now partnering with Tsinghua University in China… The problem is that the TBSI partnership has a record of collaboration with Chinese military-linked universities. We must make sure that advanced technologies, such as RISC-V, developed through federal funding support are not being transferred to China by way of under-regulated collaborations between U.S. and Chinese universities at the cost of America’s national security.” - Chairman

“A cutting edge blueprint for the future of semiconductor chip design, called ‘RISC-V’… got it’s start right here on the campus of UC Berkeley. The same Berkeley professor who helped create the technology, is now partnering with Tsinghua University in China… The problem is that the TBSI partnership has a record of collaboration with Chinese military-linked universities. We must make sure that advanced technologies, such as RISC-V, developed through federal funding support are not being transferred to China by way of under-regulated collaborations between U.S. and Chinese universities at the cost of America’s national security.” - Chairman

Select Committee on China

40,201 次观看 • 2 年前

Prof Brightling saying he is worried #longcovid patients' voices will fall silent as support is inadequate and clinics evaporate, the condition will become invisible for being dismissed and ignored We are at a tipping point he warned

Prof Brightling saying he is worried #longcovid patients' voices will fall silent as support is inadequate and clinics evaporate, the condition will become invisible for being dismissed and ignored We are at a tipping point he warned

Long Covid SOS @longcovidsos.bsky.social

13,918 次观看 • 1 年前

My eyes can't keep up with its hand gestures. Xynova's new dexterous hand--Prima1, uses direct drive. 22 degrees of freedom, tactile sensing, high-precision force control... it seems designed more for industrial manufacturing scenarios. They will be showcasing a physical hand at the WRC in Beijing. it must be said, when people discuss which is better, Xynova has already covered tendon-driven, hybrid-driven, and direct-drive hands.

My eyes can't keep up with its hand gestures. Xynova's new dexterous hand--Prima1, uses direct drive. 22 degrees of freedom, tactile sensing, high-precision force control... it seems designed more for industrial manufacturing scenarios. They will be showcasing a physical hand at the WRC in Beijing. it must be said, when people discuss which is better, Xynova has already covered tendon-driven, hybrid-driven, and direct-drive hands.

CyberRobo

382,014 次观看 • 1 个月前

Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI

Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI

MANUS™

11,998 次观看 • 1 个月前

Advance UK proudly welcomes Professor Bruce Oliver Newsome, a security consultant who has taught at UC Berkeley, the Defence Academy of the United Kingdom, and the University of Pennsylvania. Cancelled twice for rejecting woke ideology, he joins us to help rebuild Britain’s freedom and democracy.

Advance UK proudly welcomes Professor Bruce Oliver Newsome, a security consultant who has taught at UC Berkeley, the Defence Academy of the United Kingdom, and the University of Pennsylvania. Cancelled twice for rejecting woke ideology, he joins us to help rebuild Britain’s freedom and democracy.

Great British PAC

49,519 次观看 • 11 个月前

AgiBot has launched its OmniHand 2025 series, breaking the cost barrier for dexterous hands. The new 'Agile' model is the first high-DOF hand priced under 10,000 RMB! ► 'Agile' Model: 16 DOF for interactive services. Priced at just 9,800 RMB. ► 'Pro' Model: 19 DOF with 0.1N multi-modal sensing for precise industrial tasks. This is a major step toward making robot hands accessible for wider use, thanks to innovations like their self-developed joint modules.

AgiBot has launched its OmniHand 2025 series, breaking the cost barrier for dexterous hands. The new 'Agile' model is the first high-DOF hand priced under 10,000 RMB! ► 'Agile' Model: 16 DOF for interactive services. Priced at just 9,800 RMB. ► 'Pro' Model: 19 DOF with 0.1N multi-modal sensing for precise industrial tasks. This is a major step toward making robot hands accessible for wider use, thanks to innovations like their self-developed joint modules.

RoboHub🤖

34,084 次观看 • 1 年前

Antisemites at UC Berkeley Law are targeting their professors. When Dean Erwin Chemerinsky and Prof. Catherine Fisk invited 3Ls to dinner, students called for a boycott and then came to their home with a mic to protest. Now @sairasameerarao is spreading this video without context.

Antisemites at UC Berkeley Law are targeting their professors. When Dean Erwin Chemerinsky and Prof. Catherine Fisk invited 3Ls to dinner, students called for a boycott and then came to their home with a mic to protest. Now @sairasameerarao is spreading this video without context.

Steve McGuire

2,067,905 次观看 • 2 年前