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left:
type: vector
urdf_path: inspire_hand/inspire_hand_left.urdf
wrist_link_name: "L_hand_base_link"
# Target refers to the retargeting target, which is the robot hand
target_joint_names: null
target_origin_link_names: [ "L_hand_base_link", "L_hand_base_link", "L_hand_base_link", "L_hand_base_link", "L_hand_base_link" ]
target_task_link_names: [ "L_thumb_tip", "L_index_tip", "L_middle_tip", "L_ring_tip", "L_pinky_tip" ]
scaling_factor: 1.5
# Source refers to the retargeting input, which usually corresponds to the human hand
# The joint indices of human hand joint which corresponds to each link in the target_link_names
target_link_human_indices: [ [ 0, 0, 0, 0, 0 ], [ 4, 9, 14, 19, 24 ] ]
# A smaller alpha means stronger filtering, i.e. more smooth but also larger latency
low_pass_alpha: 0.8
right:
type: vector
urdf_path: inspire_hand/inspire_hand_right.urdf
wrist_link_name: "R_hand_base_link"
# Target refers to the retargeting target, which is the robot hand
target_joint_names: null
target_origin_link_names: [ "R_hand_base_link", "R_hand_base_link", "R_hand_base_link", "R_hand_base_link", "R_hand_base_link" ]
target_task_link_names: [ "R_thumb_tip", "R_index_tip", "R_middle_tip", "R_ring_tip", "R_pinky_tip" ]
scaling_factor: 1.5
# Source refers to the retargeting input, which usually corresponds to the human hand
# The joint indices of human hand joint which corresponds to each link in the target_link_names
target_link_human_indices: [ [ 0, 0, 0, 0, 0 ], [ 4, 9, 14, 19, 24 ] ]
# A smaller alpha means stronger filtering, i.e. more smooth but also larger latency
low_pass_alpha: 0.8