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"I Want to Run Faster" — Technology Is Starting to Make It Real
"I want to run faster." "I want to cover long distances without wearing myself out." These are wishes most people have had at some point. In recent years, the effort to make them possible through technology has been accelerating — and at the forefront of that effort is the AI-powered robot exoskeleton, commonly called the "Exo suit." A device that sounds like it belongs in a science fiction film, it has the potential to extend our physical capabilities and fundamentally transform the running experience. The feeling of running downhill — a little beyond your own control, yet feeling like you could go forever. A wearable robot that delivers that strange sensation has now arrived.
This article draws on the account of Amit Katwala — a writer for UK Wired magazine — who personally tested this innovative robot suit and explored how it works, what it does, and where it might lead. We deliver detailed analysis to satisfy the intellectual curiosity of business professionals. Just how far can this robot suit push human performance? And what kind of impact might this technology have on society? We dig into the future that wearable robots are opening up, with expert analysis and objective data from motion capture.
- Current Capability Assessment: What Experts Say About Its Weaknesses and Potential
- Inside the Robot Suit: How AI and Sensors Optimize Your Running
- Real-World Test: Faster Times in Adverse Conditions and Expert Re-evaluation
- Summary
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Current Capability Assessment: What Experts Say About Its Weaknesses and Potential
Before verifying the effects of this innovative robot suit, it's essential to first get an accurate read on baseline performance without it. To objectively evaluate his running ability, Amit enlisted the help of Adam Gemili — an Olympic sprint coach and British Olympian himself. From the eyes of this experienced expert, Amit's running had clear areas to address.
The first thing Gemili pointed out was "hip flexor tightness." This means the muscle group responsible for pulling the thigh forward has limited flexibility. Looking at the video, Amit's knees barely come up at all — a major hindrance to generating efficient forward propulsion. Powerful strides require high knee lift and a strong push-off from the ground, but tight hip flexors restrict that sequence of motion. This is a common issue for people who spend most of their day at a desk, and it can contribute not only to reduced running performance but also to lower back pain.
Gemili Also Pointed Out Room for Improvement in Arm Swing
Gemili also pointed out room for improvement in Amit's arm swing. Amit's arm motion was small and lacked power, resulting in a loss of propulsive energy. In running, arm swing plays a crucial role — coordinating with the lower body, maintaining balance, and building forward momentum. The ideal arm swing involves bending the elbows to about 90 degrees and swinging rhythmically forward and back from the shoulder. Driving the arms back powerfully draws the opposite leg naturally forward, resulting in a longer stride and greater speed.
Amit admitted he had been vaguely mimicking the movements of sprinters without understanding what those movements meant or how to do them correctly. Specifically, when he pulled his arms back, they stopped around his hips rather than going behind the hips with the elbow maintained at 90 degrees. This incorrect arm swing was affecting his lower-body movement and dragging down his overall performance. The coach advised swinging the arms up to eye level and driving them back past the hips, which generates more power, increases airborne time, and ultimately produces faster and more efficient movement.
But Gemili's assessment was not all criticism — he also offered positive evaluation. He described Amit's running as "not a bad baseline" and "very good running technique," adding "you might not have any sprint experience, but you have quite natural athleticism." This suggests that Amit's basic movement is sound and that, with corrected form and proper training, performance improvement is well within reach. Calling someone with no formal training "naturally athletic" is an encouraging sign of what might come.
This initial assessment serves as the critical benchmark for measuring the robot suit's effects. The question is: to what extent can the suit compensate for these weaknesses and improve on them, and how far can it draw out the potential Amit already carries? The expert's specific feedback also offers useful guidance for everyone looking to improve their running performance — with or without a suit. It is a reminder of just how important fundamental elements like hip flexibility and correct arm mechanics truly are.
Inside the Robot Suit: How AI and Sensors Optimize Your Running
With expert analysis of the baseline in hand, it's time to get to the heart of the robot suit — the HFIT Exo suit. This is not a simple assistive device. It is an intelligent system that learns the wearer's movements and optimizes them. At the Seoul-based lab of developer Herotech, Amit learned how it works and underwent detailed analysis using motion capture.
First, the fit: the thigh and hip areas are designed to be quite tight — Amit described it as "feeling like you've been packed." Like cinching a backpack's straps very tight, you feel the suit conforming and becoming one with your body. This design is necessary to efficiently transfer the forces the suit generates to the body and to accurately assist the intended movements.
The heart of the robot suit is the "motor" and "AI model" housed in a unit mounted at the lower back. The developers liken these to "human muscles" and "the human brain." The AI model analyzes data from sensors across the suit in real time, learning how the wearer is currently running. Based on that data, it controls the motor, which assists leg movement through cables. Specifically, a cable attached to the front of the thigh is pulled by the motor to assist in lifting the knee higher and faster. The cable contains a tension sensor that constantly monitors how hard it is pulling and feeds that back into the control loop. Motion sensors also collect data on posture and balance during running, and the AI synthesizes everything to provide optimal assist.
The first test in the lab used a motion capture system. "Dot" markers were attached to each of Amit's joints, and multiple cameras positioned throughout the room captured every movement precisely — the same high-precision technology used to animate characters in sports video games. The system reconstructed a skeletal model of Amit on a computer, allowing detailed comparative analysis between his running with and without the suit.
After running data without the suit was collected, it was time to run with it. Initially, the suit is not synced to the wearer's movements — you can hear the motor, but feel no assist. Within a few strides, however, the AI learns Amit's cadence and rhythm and begins syncing. Once synchronized, Amit felt "a sensation as if my legs are being pushed slightly forward." The video footage clearly shows the knees rising noticeably higher with the suit on. The AI adapts dynamically — in real time as he runs. There was none of the "feeling of losing control" he had initially worried about; if anything, he felt more stable.
After the Run, Amit Again Described "the Feeling of Running Downhill"
After the run, Amit again described "the feeling of running downhill" — not in complete control of his own speed, but feeling a gentle helping hand. As if his legs were moving faster than his body, a strange almost-floating sensation. Yet he was breathing less hard than when running without the suit, and noticed his fatigue was reduced.
The treadmill speed was then increased by 20%, to about 18 km/h (5 m/s). At higher speeds, the suit's assist intensifies noticeably. "The suit is really starting to earn its keep," Amit said, describing it as "faster, tighter, actually helping." He could feel the suit fully in sync with his running and actively supporting his leg movement. Recalling the coach's advice and consciously swinging his arms helped him handle the higher speed. Remarkably, despite running faster, he felt less fatigued than when running at a lower speed without the suit.
This subjective experience is backed up by objective data from the motion capture analysis. The development team analyzed various metrics from the captured data:
Hip flexion angle: The angle at which the thigh is pulled forward. The graph clearly showed the angle increasing substantially when wearing the suit (blue line) versus without (red line) — a difference of about 10 degrees, which the developers explain is a very significant improvement. Consistent with the felt experience of the knee lifting higher.
Pelvic Tilt
Pelvic tilt: The skeletal model showed the pelvis tilting forward (anterior tilt) during running without the suit. This can increase load on the lower back and impede efficient force transfer. With the suit on, the pelvis was corrected to a more upright position — posture improved, allowing a straighter core.
Ground contact and push-off: With the pelvis more upright, the force at foot strike transfers more efficiently straight down. With a forward lean, force tends to bleed off backward, but in a more upright posture, the ground reaction force is maximized, generating powerful propulsion into the next stride.
Gait cycle time: The gait cycle is the time and movement from when one foot touches the ground to when the same foot touches the ground again. With the suit on, gait cycle time improved by an astonishing roughly 40%. This means stride length increased substantially — covering the same distance with fewer strides. Dramatic proof that running efficiency improved.
These data points suggest the robot suit does more than just add force — it improves the running form itself, effectively "teaching" the wearer a more efficient and powerful way to run. The AI analyzes movement in real time and applies precisely calibrated physical assist through the motor and cables, guiding the wearer toward ideal form rather than simply compensating for weakness. The lab testing provided scientific validation of the remarkable potential this robot suit carries.
Real-World Test: Faster Times in Adverse Conditions and Expert Re-evaluation
After Detailed Lab Analysis, It Was Time for a Real Track
After detailed lab analysis, it was time for a real athletics track. How effective would the HFIT Exo suit be not just in a controlled environment, but out in the field? Amit took on a 100-meter time trial at Seoul National University's athletics track. The test was observed and evaluated by Kungu, a South Korean national-level sprinter, and Professor Jun, a member of the suit development team and a sports engineering specialist.
First, a baseline time was recorded — a full-effort 100m sprint without the suit. Timing pads were set at the start, and split timers were positioned along the track to capture precise timing and speed variation over each segment. Amit's unassisted time was recorded for later comparison.
Expert feedback followed. Sprinter Kungu prefaced his comments by calling Amit's running "surprisingly good" but still identified areas to improve. Hip flexion — knee lift — was still insufficient, and there was a tendency to rely too much on ankle-driven movement. This matched exactly what Adam Gemili had flagged in the first coaching session, reinforcing that it was a fundamental recurring issue in Amit's technique. Efficient running requires dynamic hip-driven leg movement, but Amit was leaning on the distal muscles of the ankle instead.
Arm mechanics were also flagged again. Kungu noted that Amit's hand movement looked stiff and tense. Professor Jun added that he should relax his arms more. On top of the "bend at 90 degrees and swing big" point from the first session, "relax" was the new addition. Tension obstructs smooth movement and wastes energy, so swinging the arms rhythmically in a relaxed state is key. Amit understood that rather than gripping tightly, he should keep his hands loosely open and relaxed.
With That Feedback Incorporated, It Was Time for the 100m in the Suit
With that feedback incorporated, it was time for the 100-meter run with the robot suit on. But the test day brought challenging weather conditions — temperatures below zero, with snow falling in near-blizzard conditions. "Like a Christmas card," Amit said, but in running terms, conditions could not have been worse. Cold slows muscle movement and depresses performance. He also had to layer up more than usual to stay warm, adding bulk and weight. And after a full day of lab tests and travel, fatigue had accumulated. Under these conditions, simply matching the unassisted benchmark would have been a respectable result.
At the starter's signal, Amit ran. Feeling the suit's assist, he covered the 100 meters. His first words after finishing were upbeat: "That felt really good! That felt quite fast." He added: "I think I took a fair amount of time off. I could feel the suit moving powerfully with me, especially in the middle section. Sometimes the sync was a little off, but overall it was really helping." The suit's benefit was clearly felt.
The time was announced: 15.7 seconds — a full 0.5 seconds faster than his unassisted time. "Brilliant! That's really impressive!" Amit could not contain his excitement.
Half a second may sound trivial in everyday terms. But in track and field — especially sprinting — athletes fight over tenths and hundredths of a second. At the elite level, 0.1 seconds is the difference between winning and losing. Even at the amateur level, 0.5 seconds is a very significant improvement.
What makes it even more significant is that this improvement was achieved under extremely adverse conditions — sub-zero temperatures, snow, bulky clothing restricting movement, and accumulated fatigue. In conditions where a slower time would have been fully understandable, a personal best was set. This shows that the robot suit does not merely assist — it has the power to overcome adverse conditions and demonstrably improve the wearer's performance.
The Words Coach Adam Gemili Said Early On
The words Coach Adam Gemili said early on — "You might have more natural athleticism than you thought" — came to mind. Or perhaps these remarkable results were down purely to the robot suit. In all likelihood, it was a combination of both. The suit drew out Amit's latent potential, guided him toward correct form, and added physical assist — producing a personal best even in difficult conditions. This real-world test was an impressive demonstration of the practical value of robot suit technology and the tremendous possibilities it holds for extending human capability.
Summary
The testing of the AI-powered robot exoskeleton HFIT Exo suit presented here makes a compelling case for how technology can enhance human physical performance — specifically running. Through Wired writer Amit Katwala's experience, we caught a glimpse of how it works, what it delivers, and where it might go.
Starting with tight hip flexors and an inefficient arm swing, Amit's running underwent a dramatic transformation with the robot suit. Motion capture analysis in the lab showed a roughly 10-degree increase in hip flexion angle, correction of pelvic tilt toward a more upright and efficient posture. Most striking of all: a roughly 40% improvement in gait cycle time. This is scientific evidence that stride length increased substantially and that speed can be maintained with less energy. The AI learns and analyzes the wearer's movement in real time and applies precisely calibrated physical assist through the motor and cables — not simply supplementing force, but actually realizing ideal running form.
And in the 100-meter real-world test conducted in sub-zero, snowy conditions, Amit posted a time 0.5 seconds faster than his unassisted baseline. Given the hostile conditions, this speaks volumes about the performance-enhancing power of the robot suit. The form improvements the experts identified were compensated by the suit's assist, and the result drew out the "natural athleticism" Amit already possessed.
This Robot Suit Is Not Just for Elite Athletes
This robot suit is not just for elite athletes chasing records. For ordinary people like Amit — those with no special training background — it makes it possible to run faster, with less effort, and with better form. That could be hugely beneficial for complete beginners, those rehabilitating from injury, or people who feel their physical capacity declining with age. By maintaining correct form, reducing joint stress, and enhancing athletic performance, applications in health promotion and active aging are also expected.
Looking beyond sport, this technology suggests applications in many other domains. Think logistics workers carrying heavy loads, factory workers standing for long shifts, or people with difficulty walking who need daily life support — the potential for a tool that reduces physical burden and extends human capability is real. Wearable robot technology combining AI, sensors, and actuators (motors and the like) will continue to evolve, and may dramatically reshape the way we work and live.
Challenges remain, of course. Current devices are still large, heavy, and potentially expensive, and widespread adoption will take time. Questions about how far AI-driven body control should be allowed to go, issues of competitive fairness, and deeper ethical discussion about what human ability means — these conversations will need to advance alongside the technology.
But as This Verification Has Shown
But as this verification has shown, AI-powered robot suits are an extremely promising technology with the potential to elevate human performance to a new dimension — becoming a powerful partner that helps us exceed the limits of our own physical capacity and achieve things we once thought impossible. For business professionals too, tracking developments in cutting-edge technologies like this and thinking about how to apply them to your business or your own skill development is worthwhile preparation for the future. The "feeling of running downhill" that a robot suit delivers may be a symbolic experience that foreshadows the arrival of a future society accelerated by technology.
Reference: https://www.youtube.com/watch?v=OSBYlyDcRgI
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