- The Distributed Robotic Garden (MIT) — We consider plants, pots, and robots to be systems with different levels of mobility, sensing, actuation, and autonomy. (via Robohub)
- CogniToys Leverages Watson’s Brain to Befriend, Teach Your Kids (IEEE) — Through the dino, Watson’s algorithms can get to know each child that it interacts with, tailoring those interactions to the child’s age and interests.
- How Machine Learning Ate Microsoft (Infoworld) — Azure ML didn’t merely take the machine learning algorithms MSR had already handed over to product teams and stick them into a drag-and-drop visual designer. Microsoft has made the functionality available to developers who know the R statistical programming language and Python, which together are widely used in academic machine learning. Microsoft plans to integrate Azure ML closely with Revolution Analytics, the R startup it recently acquired.
- Handling Five Billion Sessions a Day in Real Time (Twitter) — infrastructure porn.
Scott Stropkay and Bill Hartman on human-robot interaction, choice architecture, and developing degrees of trust.
Jonathan Follett, editor of Designing for Emerging Technologies, recently sat down with Scott Stropkay, founding partner at Essential Design Service, and Bill Hartman, director of research at Essential Design Service, both of whom are also contributing authors for Designing for Emerging Technologies. Their conversation centers around the relationship dynamic between humans and robots, and they discuss ways that designers are being stretched in an interesting new direction.
Accepting human-robot relationships
Stropkay and Hartman discussed their work with telepresence robots. They shared the inherent challenges of introducing robots in a health care setting, but stressed that there’s tremendous opportunity for improving the health care experience:
“We think the challenges inherent in these kinds of scenarios are fascinating, how you get people to accept a robot in a relationship that you normally have with a person. Let’s say, a hospital setting — how do you develop acceptance from the team that’s not used to working with a robot as part of their functional team, how do you develop trust in those relationships, how do you engage people both practically and emotionally. How, as this scenario progresses, you bring robots into your home to monitor your recovery is one of the issues we’ve begun to address in our work.
“We’re pursuing other ideas in relations to using smart monitors, in the form of robot and robotic enhanced devices that can help you advance your improvement in behavior change over time … Ultimately, we’re thinking about some of the interesting science that’s happening with robots that you ingest that can learn about you and monitor you. There’s a world of fascinating issues about what you want to know, and how you might want to learn that, who gets access to this information, and how that interface could be designed.”
Does the way a brain is wired determine how we think and behave? Recent research points to a resounding yes.
One of the age-old questions has been whether the way a brain is wired, negating other attributes such as intracellular systems biology, will give rise to how we think and how we behave. We are not at the point yet to answer that question regarding the human brain. However, by using the well-mapped connectome of the nematode Caenorhabditis elegans (C. elegans, shown above), we were able to answer this question as a resounding yes, at least for simpler animals. Using a simple robot (a Lego Mindstorms EV3) and connecting sensors on the robot to stimulate specific simulated sensory neurons in an artificial connectome, and condensing worm muscle excitation to move a left and right motor on the robot, we observed worm-like behaviors in the robot based purely on environmental factors. Read more…
Soft, or compliant, robots can be safer, lighter, more efficient, and easier to control.
As we get ready to launch the 2015 version of Solid, our conference about the intersection between software and the physical world, I’ve been revisiting some lessons from Solid 2014.
For instance, Saul Griffith, founder and principal scientist at Other Lab, advises that many machines would do well to skip solidity altogether. Soft, or compliant, robots can be safer, lighter, more efficient, and easier to control. In his work with compliant robots, Griffith has managed to substitute intelligent controls for mass—replacing atoms with bits.
Watch Griffith’s entire Solid 2014 talk below. If you’d like to be notified when the Solid 2015 call for proposals goes up and when tickets become available, be sure to sign up for the O’Reilly IoT+ newsletter.
For more videos from Solid 2014, visit our Solid YouTube playlist.