Humanoid robots have the potential to mimic human motions with high visual fidelity, yet translating these motions into practical physical execution remains a significant challenge. Existing techniques in the graphics community often prioritize visual fidelity over physics-based feasibility, posing a significant challenge for deploying bipedal systems in practical applications. … [Read more...] about I-CTRL: Imitation to Control Humanoid Robots Through Bounded Residual Reinforcement Learning
Trajectory
Motion Planning for Humanoid Locomotion: Applications to Homelike Environments
“What can your humanoid robot do?” is probably the most commonly asked question that we, as roboticists, have to answer when interacting with the general public. Often, the question is framed in the familiar household or office setting, with implied expectations of robust locomotion on uneven and cluttered terrain and compliant interaction with people, objects, and the … [Read more...] about Motion Planning for Humanoid Locomotion: Applications to Homelike Environments
SofToss: Learning to Throw Objects With a Soft Robot
In this paper, we present, for the first time, a soft robot control system (SofToss) capable of throwing life-size objects toward target positions. SofToss is an open-loop controller based on deep reinforcement learning that generates, given the target position, an actuation pattern for the tossing task. To deal with the high non-linearity of the dynamics of soft robots, we … [Read more...] about SofToss: Learning to Throw Objects With a Soft Robot
The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots
Current intralogistics services require keeping up with e-commerce demands, reducing delivery times and waste, and increasing overall flexibility. As a consequence, the use of automated guided vehicles (AGVs) and, more recently, autonomous mobile robots (AMRs) for logistics operations is steadily increasing. For more about this article see link … [Read more...] about The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots
Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers
In an extreme environment, such as Mars or a volcanic area, mobile robots have been used in scientific missions, or as precursors for a future manned mission. The robot called a planetary exploration rover is managed by a space-qualified, radiation-hardened, and low-clock onboard computer, and autonomously travels over challenging terrain. For more about this … [Read more...] about Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers
