37 citations · 194 across the 17 of their papers we have counts for
19 papers
Learning Differentiable Reachability Maps for Optimization-based Humanoid Motion Generation
Masaki Murooka, Iori Kumagai, Mitsuharu Morisawa +1
To reduce the computational cost of humanoid motion generation, we introduce a new approach to representing robot kinematic reachability: the differentiable reachability map. This…
Humanoid Loco-Manipulations Pattern Generation and Stabilization Control
Masaki Murooka, Kevin Chappellet, Arnaud Tanguy +5
In order for a humanoid robot to perform loco-manipulation such as moving an object while walking, it is necessary to account for sustained or alternating external forces other tha…
Humanoid Loco-manipulation Planning based on Graph Search and Reachability Maps
Masaki Murooka, Iori Kumagai, Mitsuharu Morisawa +2
In this letter, we propose an efficient and highly versatile loco-manipulation planning for humanoid robots. Loco-manipulation planning is a key technological brick enabling humano…
Centroidal Trajectory Generation and Stabilization based on Preview Control for Humanoid Multi-contact Motion
Masaki Murooka, Mitsuharu Morisawa, Fumio Kanehiro
Multi-contact motion is important for humanoid robots to work in various environments. We propose a centroidal online trajectory generation and stabilization control for humanoid d…
Robust Humanoid Walking on Compliant and Uneven Terrain with Deep Reinforcement Learning
Rohan P. Singh, Mitsuharu Morisawa, Mehdi Benallegue +2
For the deployment of legged robots in real-world environments, it is essential to develop robust locomotion control methods for challenging terrains that may exhibit unexpected de…
Humanoid Robot RHP Friends: Seamless Combination of Autonomous and Teleoperated Tasks in a Nursing Context
Mehdi Benallegue, Guillaume Lorthioir, Antonin Dallard +15
This paper describes RHP Friends, a social humanoid robot developed to enable assistive robotic deployments in human-coexisting environments. As a use-case application, we present…
The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots
Arnaud Demont, Mehdi Benallegue, Abdelaziz Benallegue +5
This paper presents the Kinetics Observer, a novel proprioceptive state estimator for legged robots designed to provide the feedback required for versatile locomotion and physical…
Analysis and Perspectives on the ANA Avatar XPRIZE Competition
Kris Hauser, Eleanor Watson, Joonbum Bae +25
The ANA Avatar XPRIZE was a four-year competition to develop a robotic "avatar" system to allow a human operator to sense, communicate, and act in a remote environment as though ph…
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
Leyuan Sun, Guanqun Ding, Yue Qiu +2
Multi-modal fusion of sensors is a commonly used approach to enhance the performance of odometry estimation, which is also a fundamental module for mobile robots. However, the ques…
Learning Bipedal Walking for Humanoids with Current Feedback
Rohan Pratap Singh, Zhaoming Xie, Pierre Gergondet +1
Recent advances in deep reinforcement learning (RL) based techniques combined with training in simulation have offered a new approach to developing robust controllers for legged ro…
Enhanced Visual Feedback with Decoupled Viewpoint Control in Immersive Humanoid Robot Teleoperation using SLAM
Yang Chen, Leyuan Sun, Mehdi Benallegue +8
In immersive humanoid robot teleoperation, there are three main shortcomings that can alter the transparency of the visual feedback: the lag between the motion of the operator's an…
mc-mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo
Rohan P. Singh, Pierre Gergondet, Fumio Kanehiro
For safe and reliable deployment of any robot controller on the real hardware platform, it is generally a necessary practice to comprehensively assess the performance of the contro…
Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations
Rohan Pratap Singh, Iori Kumagai, Antonio Gabas +3
In many robotic applications, the environment setting in which the 6-DoF pose estimation of a known, rigid object and its subsequent grasping is to be performed, remains nearly unc…
Learning Bipedal Walking On Planned Footsteps For Humanoid Robots
Rohan Pratap Singh, Mehdi Benallegue, Mitsuharu Morisawa +2
Deep reinforcement learning (RL) based controllers for legged robots have demonstrated impressive robustness for walking in different environments for several robot platforms. To e…
Rapid Pose Label Generation through Sparse Representation of Unknown Objects
Rohan Pratap Singh, Mehdi Benallegue, Yusuke Yoshiyasu +1
Deep Convolutional Neural Networks (CNNs) have been successfully deployed on robots for 6-DoF object pose estimation through visual perception. However, obtaining labeled data on a…
Lyapunov-Stable Orientation Estimator for Humanoid Robots
Mehdi Benallegue, Rafael Cisneros, Abdelaziz Benallegue +3
In this paper, we present an observation scheme, with proven Lyapunov stability, for estimating a humanoid's floating base orientation. The idea is to use velocity aided attitude e…
Planning Grasps for Assembly Tasks
Weiwei Wan, Kensuke Harada, Fumio Kanehiro
This paper develops model-based grasp planning algorithms for assembly tasks. It focuses on industrial end-effectors like grippers and suction cups, and plans grasp configurations…
Preparatory Manipulation Planning using Automatically Determined Single and Dual Arms
Weiwei Wan, Kensuke Harada, Fumio Kanehiro
This paper presents a manipulation planning algorithm for robots to reorient objects. It automatically finds a sequence of robot motion that manipulates and prepares an object for…
Regrasp Planning Considering Bipedal Stability Constraints
Daniel Sanchez, Weiwei Wan, Kensuke Harada +1
This paper presents a Center of Mass (CoM) based manipulation and regrasp planner that implements stability constraints to preserve the robot balance. The planner provides a graph…