Video Friday: Hopping on One Robotic Leg (19459000)
IEEE Spectrum ( ]robotics]has a weekly selection of amazing robotics videos. We also publish a weekly calendar with upcoming robotics events. Please submit your events to be included.
2025 Energy Drone & Robotics Summit (19459132) : 16-18 Jun 2025, HOUSTON (19659005)
RSS 2025– 21-25 June 2025 LOS ANGELES (19659006)
ETH Robotics Summer School: 21-27 June 2025, GENEVA
IAS 2025 (19459132) : 30 June-4 Jul 2025, GENOA ITALY
ICRES 2025 () : 3-4 Jul 2025, PORTO PORTUGAL (19659009)
IEEE World Haptics (19459132) : 8-11 Jul 2025, SUWON SOUTH KOREAN
IFAC Symposium on Robotics (19459132) : 15-18 Jul 2025, PARIS (19659011)
RoboCup 2020– 15-21 July 2025 BAHIA, BRAZIL (
RO-MAN 2025 (19459132) : 25-29 Aug 2025, EINDHOVEN NETHERLANDS (19659013)
CLAWAR 2025 (19459132) : 5-7 Sept 2025, SHENZHEN (19659014)
CoRL 2025: 27-30 September 20,25, Seoul
IEEE Humanoids: 30 September-2 Oct 2025, Seoul
World Robot Summit: 10-12 October 20,25, OSAKA (JAPAN)
Enjoy today’s videos with IROS 2025 ()! 19-25 October 2025 in HANGZHOU.
This single-leg robotic device is intended to “form the foundation for future bipedal robotic development,” but I personally think it’s great as is.
[
KAIST Dynamic Robot Control and Design Lab (]]
The sale of 17,000 social robots is still astonish me. Aldebaran is missed.
[
Aldebaran]
It’s good to see some real challenging shoves in the biped testing.
Ground Controlmade a multi-legged splash at IEEE’s International Conference on Robotics and Automation in Atlanta! We competed in the Startup Pitch Competition, and demonstrated our robot on NIST standard terrain and at the convention. We were honored to be a finalist in the Best Expo Demo category and to participate in the Robot Parade.
Thank you, Dan!
Humanoid, a robotics innovation company based in the U.K., is dedicated to developing commercially scalable and reliable robotic solutions for real world applications.
I’ll admit it, that’s a pretty cool bootup screen.
[
Humanoid
Thank you, Kristina.
Quadrupedal Robots have shown remarkable agility and robustness when traversing complex terrains. They are limited in their ability to interact with objects that require sustained contact. In this work, LocoTouch is a system that provides quadrupedal robotics with tactile sensors to tackle a challenging task within this category: the long-distance transportation of cylindrical objects that are not secured, which requires custom mounting mechanisms in order to maintain stability.
Thank you, Changyi!
In the video, Digit performs tasks autonomously with a whole body controller for mobile manipulating. This new controller has been trained in simulation to enable Digit to perform tasks while navigating and manipulating objects that it has never seen before.
It’s not bad, but it’s worth pointing that these shelves aren’t representative of any market I have ever been to.
It’s always cool when robots are presented as a solution to a particular problem, rather than just robots.
The real question you want to know is: “Why is water on the floor?”
Boston Dynamics ]
The use of reinforcement learning (RL) to control physics-based characters and robots that track kinematic motion reference has been significantly improved. We propose a multiobjective reinforcement learning framework which trains a single rule conditioned on a weighted set of rewards, covering the Pareto front in reward trade-offs. Weights can be selected after training and then tuned, allowing for a significant reduction in iteration times. We demonstrate how this improved work flow can be used to perform highly-dynamic motions with a robotic character.
It’s only been a week since ICRA 2020, and TRON 1 is already missing all the new friends that it made!
ROB 450, Winter 2025, challenged students to apply the knowledge they had gained in Robotics undergraduate classes at the University of Michigan using a systematic design and analysis process.
[
University of Michigan Robotics ( )
What’s the Trick? Chris Atkeson, Robotics and AI Institute, gives a talk on the differences between current robot learning and human learning.
