This article presents a multicontact motion adaptation framework that enables teleoperation of high degree-of-freedom robots, such as quadrupeds and humanoids, for loco-manipulation tasks in multicontact settings. Our proposed algorithms optimize whole-body configurations and formulate the retargeting of multicontact motions as sequential quadratic programming, which is robust and stable near the edges of feasibility constraints. Our framework allows real-time operation of the robot and reduces cognitive load for the operator because infeasible commands are automatically adapted into physically stable and viable motions on the robot. The results in simulations with full dynamics demonstrated the effectiveness of teleoperating different legg...
International audienceWe present experimental results using a passive whole-body control approach fo...
The deployment of robots in industrial and civil scenarios is a viable solution to protect operators...
International audienceWe propose a framework for real-time online and offline retargeting of a human...
Submitted to Humanoids 2017International audienceWe propose a multi-robot quadratic program (QP) con...
International audienceMotion retargeting and teleoperation are powerful tools to demonstrate complex...
The task of performing locomotion and manipulation simultaneously poses several scientific challenge...
Legged robot locomotion requires the planning of stable reference trajectories, especially while tra...
International audienceTransferring the motion from a human operator to a humanoid robot is a crucial...
Legged machines have the potential to traverse terrain that wheeled robots cannot. These capabilitie...
Autonomous legged robots will be required to handle a wide range of tasks in complex environments. W...
This paper introduces a local motion planning method for robotic systems with manipulating limbs, mo...
For decades humans have been trying to create machines that can mimic the capabilities of legged ani...
The fundamental objective of robotics is to enhance the productivity of humans while interacting in ...
International audienceMotion planning in multi-contact scenarios has recently gathered interest with...
Incremental progress in humanoid robot locomotion over the years has achieved essential capabilities...
International audienceWe present experimental results using a passive whole-body control approach fo...
The deployment of robots in industrial and civil scenarios is a viable solution to protect operators...
International audienceWe propose a framework for real-time online and offline retargeting of a human...
Submitted to Humanoids 2017International audienceWe propose a multi-robot quadratic program (QP) con...
International audienceMotion retargeting and teleoperation are powerful tools to demonstrate complex...
The task of performing locomotion and manipulation simultaneously poses several scientific challenge...
Legged robot locomotion requires the planning of stable reference trajectories, especially while tra...
International audienceTransferring the motion from a human operator to a humanoid robot is a crucial...
Legged machines have the potential to traverse terrain that wheeled robots cannot. These capabilitie...
Autonomous legged robots will be required to handle a wide range of tasks in complex environments. W...
This paper introduces a local motion planning method for robotic systems with manipulating limbs, mo...
For decades humans have been trying to create machines that can mimic the capabilities of legged ani...
The fundamental objective of robotics is to enhance the productivity of humans while interacting in ...
International audienceMotion planning in multi-contact scenarios has recently gathered interest with...
Incremental progress in humanoid robot locomotion over the years has achieved essential capabilities...
International audienceWe present experimental results using a passive whole-body control approach fo...
The deployment of robots in industrial and civil scenarios is a viable solution to protect operators...
International audienceWe propose a framework for real-time online and offline retargeting of a human...