3 citations · 7 across the 6 of their papers we have counts for
7 papers · 1 filter
Grasp Failure Constraints for Fast and Reliable Pick-and-Place Using Multi-Suction-Cup Grippers
Jee-eun Lee, Robert Sun, Andrew Bylard +1
Multi-suction-cup grippers are frequently employed to perform pick-and-place robotic tasks, especially in industrial settings where grasping a wide range of light to heavy objects…
RL-augmented MPC Framework for Agile and Robust Bipedal Footstep Locomotion Planning and Control
Seung Hyeon Bang, Carlos Arribalzaga Jové, Luis Sentis
This paper proposes an online bipedal footstep planning strategy that combines model predictive control (MPC) and reinforcement learning (RL) to achieve agile and robust bipedal ma…
LIVE: Lidar Informed Visual Search for Multiple Objects with Multiple Robots
Ryan Gupta, Minkyu Kim, Juliana T Rodriguez +2
This paper introduces LIVE: Lidar Informed Visual Search focused on the problem of multi-robot (MR) planning and execution for robust visual detection of multiple objects. We perfo…
Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation
Mingyo Seo, Steve Han, Kyutae Sim +4
We tackle the problem of developing humanoid loco-manipulation skills with deep imitation learning. The difficulty of collecting task demonstrations and training policies for human…
Learning Contact-based Navigation in Crowds
Kyle Morgenstein, Junfeng Jiao, Luis Sentis
Navigation strategies that intentionally incorporate contact with humans (i.e. "contact-based" social navigation) in crowded environments are largely unexplored even though collisi…
Web Based Teleoperation of a Humanoid Robot
Chien Liang Fok, Fei Sun, Matt Mangum +3
The Cloud-based Advanced Robotics Laboratory (CARL) integrates a whole body controller and web-based teleoperation to enable any device with a web browser to access and control a h…