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SKP's OE Replacement Automatic Transmission Pans are an affordable, high quality alternative to expensive OE pans - restoring your vehicle's functionality without having to pay high dealer prices
Engineered and manufactured to achieve exact OE fit, form, and function ensuring a no-hassle installation and exceptional long-term performance
Rugged materials, precision manufacturing processes, and stringent quality control standards ensure our replacement transmission pans will meet or exceed your expectations
Fits select 96-10 Dodge Ram 1500/2500/3500, Ram Van 1500/2500/3500, Dakota, and Durango vehicles
Replaces OE Nos. 52118780, 52118780AC, and 52118780AD
SKP's OE Replacement Automatic Transmission Pans are an affordable, high quality alternative to expensive OE components - restoring your vehicle's functionality to factory levels without paying high dealer prices. Engineered and manufactured to achieve exact OE fit, form, and function ensuring a no-hassle installation and exceptional long-term performance. Rugged materials, precision manufacturing processes, and stringent quality control standards ensure our replacement transmission pans will meet or exceed your expectations. Fits select automatic transmission equipped 96-10 Dodge Ram 1500/2500/3500, Ram Van 1500/2500/3500, Dakota, and Durango vehicles. Replaces OE Nos. 52118780, 52118780AC, and 52118780AD. SKP Automotive manufactures only premium quality products that meet or exceed OEM standards. Engineered to be the best performing products on the market, from initial component construction to assembly and final packaging, every SKP replacement component benefits from our commitment to robust engineering, precision manufacturing, and rigorous testing standards. Our global volume, production capacity, and insatiable desire to produce only the best replacement auto parts in the marketplace, are complemented by our customer centric operating philosophy, positioning SKP Automotive as a preferred supplier to the automotive aftermarket. With rigorous testing programs, QC processes and a company-wide commitment to best practices, ISO 9001 certified SKP Automotive is dedicated to bringing you the premium quality replacement parts you want at a price you can afford.
How do humans become so skillful? Well, initially we are not, but from infancy, we discover and practice increasingly complex skills through self-supervised play. But this play is not random – the child development literature suggests that infants use their prior experience to conduct directed exploration of affordances like movability, suckability, graspability, and digestibility through interaction and sensory feedback. This type of affordance directed exploration allows infants to learn both what can be done in a given environment and how to do it. Can we instantiate an analogous strategy in a robotic learning system?
In this IEEE ICRA 2021 Plenary Panel organised by the Ad Hoc Committee to Explore Synergies in Automation and Robotics (CESAR), and aimed at the younger generation of roboticists and automation experts, panelists discussed about the substantial overlap in topics and research communities of both disciplines, and how to bring such communities closer.
A student team in RoboHouse has invented a robot that may enable more precise treatment of prostate cancer. The team collaborated with Martijn de Vries, a PhD researcher at TU Delft specialised in developing minimally invasive instruments for tumor treatment.
Lilly interviews Chris Lee, a graduate student at Oregon State University. Lee explains his research on marsupial robots, or carrier-passenger pairs of heterogeneous robot systems. They discuss the possible applications of marsupial robots including the DARPA Subterranean Competition, and some of the technical challenges including optimal deployment formulated as a stochastic assignment problem.
Apart from the IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist that we have been featuring in the last weeks, another series of three videos was produced together with Black in Robotics and the support of Toyota Research Institute. In this series, black roboticists give their personal examples of why diversity matters in robotics, showcase their research and explain what made them build a career in robotics.
On August 8th, 2021, a team of four graduate students from the University of Toronto presented their ethical design in the world’s first ever roboethics competition, the RO-MAN 2021 Roboethics to Design & Development Competition. During the competition, design teams tackled a challenging yet relatable scenario—introducing a robot helper to the household. The students’ solution, entitled ”Jeeves, the Ethically Designed Interface (JEDI)”, demonstrated how home robots can act safely and according to social and cultural norms. Judges from around the world, with diverse backgrounds ranging from industry professionals to lawyers and professors in ethics, gave their feedback on the team’s submission. Open Roboethics Institute also hosted an online opinion poll to hear what the general public thinks about the solution for this challenge.
This week you’ll be able to listen to the talks of Jonathan Hurst (Professor of Robotics at Oregon State University, and Chief Technology Officer at Agility Robotics) and Andrea Thomaz (Associate Professor of Robotics at the University of Texas at Austin, and CEO of Diligent Robotics) as part of this series that brings you the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems). Jonathan’s talk is in the topic of humanoids, while Andrea’s is about human-robot interaction.
Gaze is an extremely powerful and important signal during human-human communication and interaction, conveying intentions and informing about other’s decisions. What happens when a robot and a human interact looking at each other? Researchers at IIT-Istituto Italiano di Tecnologia (Italian Institute of Technology) investigated whether a humanoid robot’s gaze influences the way people reason in a social decision-making context. What they found is that a mutual gaze with a robot affects human neural activity, influencing decision-making processes, in particular delaying them. Thus, a robot gaze brings humans to perceive it as a social signal. These findings have strong implications for contexts where humanoids may find applications such as co-workers, clinical support or domestic assistants.
We’re reaching the end of this focus series on IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist. This week you’ll meet Michelle Johnson, Associate Professor of Physical Medicine and Rehabilitation at the University of Pennsylvania.
In February we asked ‘How can robotics help Rob, the gas leak detector?’, when announcing our collaboration with Alliander about cognitive robotics and worker wellbeing. Today, we are able to share some tentative insights.
As part of our series showcasing the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems), this week we bring you Nikolaus Correll (Associate Professor at the University of Colorado at Boulder) and Cynthia Breazeal (Professor of Media Arts and Sciences at MIT). Nikolaus’ talk is on the topic of robot manipulation, while Cynthia’s talk is about the topic of social robots.
During the last decades robots are transforming from simple machines to cognitive collaborators. The distance that has been covered is long, but there are still challenges, as well as opportunities that lie ahead. That was also the main topic of discussion in the agROBOfood event ‘Visioning the future of agri-food robotics’ by a panel of experts of the domain.
In this fourth release of our series dedicated to IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist, we bring you Peter Corke. He is a Distinguished Professor of Robotic Vision at Queensland University of Technology, Director of the QUT Centre for Robotics, and Director of the ARC Centre of Excellence for Robotic Vision.
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