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KLEIYN : A Quadruped Robot with an Active Waist for Both Locomotion and Wall Climbing

arXiv.org Artificial Intelligence

-- In recent years, advancements in hardware have enabled quadruped robots to operate with high power and speed, while robust locomotion control using reinforcement learning (RL) has also been realized. As a result, expectations are rising for the automation of tasks such as material transport and exploration in unknown environments. However, autonomous locomotion in rough terrains with significant height variations requires vertical movement, and robots capable of performing such movements stably, along with their control methods, have not yet been fully established. In this study, we developed the quadruped robot KLEIYN, which features a waist joint, and aimed to expand quadruped locomotion by enabling chimney climbing through RL. T o facilitate the learning of vertical motion, we introduced Contact-Guided Curriculum Learning (CGCL). As a result, KLEIYN successfully climbed walls ranging from 800 mm to 1000 mm in width at an average speed of 150 mm/s, 50 times faster than conventional robots. Furthermore, we demonstrated that the introduction of a waist joint improves climbing performance, particularly enhancing tracking ability on narrow walls. In recent years, the development of quadruped robots has been actively conducted [1]-[3].


Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning

arXiv.org Artificial Intelligence

Construction workers face significant risks of work-related musculoskeletal disorders (WMSDs), driven by repetitive tasks, heavy load handling, and non-neutral postures in dynamic, unpredictable environments [1, 10]. In the U.S., construction workers experience an 11% higher WMSD rate than the average across industries, with the back and shoulders most affected [10]. While exoskeletons show promise in reducing physical strain--passive designs lowering back muscle activity by 10-40% and active ones achieving up to 80% reductions across multiple regions [5]--their practical deployment remains limited by discomfort and poor alignment with human movements, particularly in construction settings [6]. Central to these limitations is the challenge of accurately recognizing user intent across varied tasks, a gap that restricts effective collaboration [3, 34]. This misalignment heightens safety risks, as powered exoskeletons may generate destructive forces if their controlled output deviates from the user's intent [34]. Addressing this locomotion intent recognition challenge is pivotal to unlocking effective exoskeleton assistance in construction, particularly for diverse, safety-critical tasks like ladder climbing and obstacle navigation. Traditional evaluation of assistive technologies like lower-limb exoskeletons has focused narrowly on routine tasks such as straight walking [27], neglecting these critical locomotion modes and requiring a shift beyond conventional control paradigms that lack flexibility for dynamic contexts. Construction tasks are highly variable, requiring workers to adapt to shifting demands, irregular workflows, and unstructured environments where movement patterns are unpredictable [10]. This variability complicates the implementation of assistive technologies, as rigid control approaches struggle to accommodate rapid task transitions and environmental uncertainty.


Occam's Razor and Bender and Koller's Octopus

arXiv.org Artificial Intelligence

We discuss the teaching of the discussion surrounding Bender and Koller's prominent ACL 2020 paper, "Climbing toward NLU: on meaning form, and understanding in the age of data" \cite{bender2020climbing}. We present what we understand to be the main contentions of the paper, and then recommend that the students engage with the natural counter-arguments to the claims in the paper. We attach teaching materials that we use to facilitate teaching this topic to undergraduate students.


AI and Economy in India are Climbing the Progression ladder

#artificialintelligence

Ever since the advent of AI and it's entry in India, its escalation has been directly proportional to that of Indian economy. AI and economy in India are in immense competition with that of other nations and the'Make in India' drive is one such move to make it climb the progression ladder. Launched in 2014, Make in India is an initiative by Prime Minister Narendra Modi to transform India into a global designing and manufacturing hub. Back in 2013, the year that witnessed aggressive decline in technology and economy that somewhat resonated with America's great depression; Make in India drive was a response to handle this critical situation. The idea is to boost India's progress in terms of productions and widen the chances of businesses.


CBA Webinars: Climbing through Crisis: How AI can help your lending business respond

#artificialintelligence

Is the US economy headed for an economic slowdown or recession? Forecasting the economy's ups and downs is difficult, but you don't have to batten down the hatches. Attend this webinar to learn how AI can help your lending business weather uncertain market conditions. Tune into hear why forward thinking banking leaders have turned to Zest AI to help them future proof their lending business. Have you created an account yet?


If Computers Are Intelligent, Climbing a Tree Is Flying

#artificialintelligence

As Smith observes, a computer can be programmed to detect instances of the word "betrayal" in scanned texts, but it lacks the concept of betrayal. Therefore, if a computer scans a story about betrayal that happens not to use the actual word "betrayal," it will fail to detect the story's theme. And if it scans text that does contain the word, but without deploying the concept of betrayal, the computer will erroneously classify it as a story about betrayal. Due to the rough correlation that exists between contexts in which the word "betrayal" appears, and contexts in which the concept is deployed, the computer will loosely simulate the behavior of someone who understands the word--but, says Smith, to suppose such a simulation amounts to real intelligence is like supposing that climbing a tree amounts to flying.


Climbing the digital maturity ladder

@machinelearnbot

"Digitalization" has been on everybody's lips for many years now. It has become a bit worn out term, but we're only at the foot of the mountain when it comes to reaching the full potential of digitalization. What does it take to become digitally mature? One by one, big established enterprises fall due to "digital disruption". The textbook example is the fall of Kodak; the world's biggest brand at the time that held back from developing digital cameras trying to avoid interfering with their all-important film business.


Hands-on: Assassin's Creed: Origins still feels like Assassin's Creed

PCWorld

When Ubisoft announced last year that the Assassin's Creed series would take a year off, retool, and return in 2017, I anticipated huge sweeping differences. The series needs huge sweeping differences--with a grueling yearly release schedule, Assassin's Creed has suffered from consumer and critical malaise more than perhaps any Ubisoft property. But after playing Assassin's Creed: Origins for 20 or so minutes during E3, I don't think we're getting huge sweeping differences. Assassin's Creed: Origins has been tweaked in places, and its Cleopatra-era Egypt setting is certainly the most creative we've seen in years, but it doesn't feel like a true rebirth or a reimagining. First and foremost, the usual disclaimer applies: We played 20 minutes of an hours-long experience, so maybe the seeds of Assassin's Creed's redemption come later in the game.