Consequently, haptics for telemanipulation is poised to become essential in the coming years, as it offers operators an additional sensory channel crucial for interpretation in extreme conditions. However, current haptic device setups are either difficult to access or provide low-quality force feedback rendering. This work proposes the design of a single-axis, open-source setup for telemanipulation development, aimed at addressing these issues. We first introduce the haptic device and demonstrate its integration with common robotic tools. The proposed joystick has the potential to accelerate the development and deployment of haptic technology in a wide range of robotics applications, enhancing operator feedback and control.

For a while now, those who track robotics development have taken note of a quiet revolution in the sector. While self-driving cars have grabbed all the headlines, the work happening at the intersection of AI, machine vision, and machine learning is fast becoming the foundation for the next phase of robotics. By combining machine vision with learning capabilities, roboticists are opening a wide range of new possibilities like vision-based drones, robotic harvesting, robotic sorting in recycling, and warehouse pick and place. We're finally at the inflection point: The moment where these applications are becoming good enough to provide real value in semi-structured environments where traditional robots could never succeed. To discuss this exciting moment and how it's going to change the world we live in fundamentally, I connected with Pieter Abbeel, a professor of electrical engineering and computer science at the University of California, Berkeley, where he is also the director of the Berkeley Robot Learning Lab and co-director of the Berkeley AI Research lab.

One kind of robot has endured for the last half-century: the hulking one-armed Goliaths that dominate industrial assembly lines. These industrial robots have been task-specific -- built to spot weld, say, or add threads to the end of a pipe. They aren't sexy, but in the latter half of the 20th century they transformed industrial manufacturing and, with it, the low- and medium-skilled labor landscape in much of the US, Asia, and Europe. You've probably been hearing a lot more about robots and robotics over the last couple years. That's because, for the first time since the 1961 debut of GM's Unimate, regarded as the first industrial robot, the field is once again transforming world economies. Only this time the impact is going to be broader. That's particularly true in light of the COVID-19 pandemic, which has helped advance automation adoption across a variety of industries as manufacturers, fulfillment centers, retail, and restaurants seek to create durable, hygienic operations that can withstand evolving disruptions and regulations.

Autonomous robots are complicated machines. There are many different systems needed for a robot to understand its environment, learn from it, and then take actions within that environment. Just one of those components can take time to understand, develop and integrate together. The earliest self-driving cars required racks of servers running Intel Xeon processors to be able to understand and navigate within their environments. While autonomous robots don't usually have the same level of constraints as a self-driving car, they do operate in a similar problem space.

It's hard to bet against the continued rise of automation, robots, and artificial intelligence (AI), all of which are already having major impacts on how we work, learn, shop, and play. But being able to predict that robotics and AI will change our lives is a lot easier than predicting how they will change our lives. In a recent forecast for 2017 and beyond, for instance, analyst firm IDC said we can expect to continue seeing robotic and AI technologies keep growing more affordable, more capable, and easier to use. The Obama White House said it expects the same, but also warns in a new report that "growth will not be costless" and could harm workers lacking the skills to compete in an AI-driven economy. How the incoming administration plans to address such issues is also uncertain. While President-elect Donald Trump's campaign promised to revive U.S. manufacturing and spend $1 trillion on the nation's infrastructure, he has also tapped Hardee's/Carl's Jr. chief Andrew Puzder -- who supports the use of automation to save on employment costs -- as secretary of the U.S. Department of Labor.

It's hard to bet against the continued rise of automation, robots, and artificial intelligence (AI), all of which are already having major impacts on how we work, learn, shop, and play. But being able to predict that robotics and AI will change our lives is a lot easier than predicting they will change our lives. In a recent forecast for 2017 and beyond, for instance, analyst firm IDC said we can expect to continue seeing robotic and AI technologies keep growing more affordable, more capable, and easier to use. The Obama White House said it expects the same, but also warns in a new report that "growth will not be costless" and could harm workers lacking the skills to compete in an AI-driven economy. How the incoming administration plans to address such issues is also uncertain. While President-elect Donald Trump's campaign promised to revive U.S. manufacturing and spend $1 trillion on the nation's infrastructure, he has also tapped Hardee's/Carl's Jr. chief Andrew Puzder -- who supports the use of automation to save on employment costs -- as secretary of the U.S. Department of Labor.